Prosecution Insights
Last updated: September 20, 2026
Application No. 18/613,161

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM

Final Rejection §102§103
Filed
Mar 22, 2024
Priority
Sep 27, 2021 — JP 2021-157274 +1 more
Examiner
WILLIAMS, REBECCA COLETTE
Art Unit
2677
Tech Center
2600 — Communications
Assignee
Fujifilm Holdings Corporation
OA Round
2 (Final)
46%
Grant Probability
Moderate
3-4
OA Rounds
10m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 46% of resolved cases
46%
Career Allowance Rate
6 granted / 13 resolved
-15.8% vs TC avg
Strong +64% interview lift
Without
With
+63.6%
Interview Lift
resolved cases with interview
Typical timeline
3y 4m
Avg Prosecution
22 currently pending
Career history
37
Total Applications
across all art units

Statute-Specific Performance

§101
8.8%
-31.2% vs TC avg
§103
61.3%
+21.3% vs TC avg
§102
16.3%
-23.7% vs TC avg
§112
13.1%
-26.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 13 resolved cases

Office Action

§102 §103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Information Disclosure Statement Information Disclosure Statement filed 02/24/2026 has been considered by examiner. Response to Amendment Applicant has amended claims 1, 3, 15, and 16. Applicant has cancelled claims 2 and 4. Applicant has added claim 17. Applicant’s amendments have overcome the previously held 101 rejections. Additionally, Applicant’s newly added claim 17 does not contain a 101 issue. All claims, however, still remain rejected (see below provided updated rejections). Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim 15 is rejected under 35 U.S.C. 102(a)(1) as being anticipated by DeviantArt (DeviantArt. DeviantArt Digital Art Screenshot. April 23 2019. (Year: 2019)). With respect to claim 15, DeviantArt teaches an information processing method comprising :acquiring a plurality of images to which mutually independent attribute information is assigned (see DeviantArt screenshot images tagged to belong to a category); and performing control to display, in a screen, a slider bar for receiving an operation of selecting an image to be displayed on a display among the plurality of images on the display (see DeviantArt screenshot slider, allowing users to view and select images), wherein the screen includes a designation field for receiving a designation of the attribute information (see DeviantArt screenshot category pane), and an operable range of the slider bar is limited such that only an image to which the designated attribute information is assigned is set to be selectable (see Deviant Art screenshot slider bar on a page limited by category). Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1, 3, 5-6, 8-9, 13-14 and 16 are rejected under 35 U.S.C. 103 as being unpatentable over DeviantArt (DeviantArt. DeviantArt Digital Art Screenshot. April 23 2019. (Year: 2019)) in view of Tsujimoto (WO-2013099125-A1). With respect to claim 1, DeviantArt teaches acquiring a plurality of images to which mutually independent attribute information is assigned (see DeviantArt screenshot images tagged to belong to a category); and performing control to display in a screen (see DeviantArt screenshot slider, used by users), on which are a plurality of images to which mutually independent attribute information is assigned (see DeviantArt screenshot images tagged to belong to a category), a slider bar for receiving an operation of selecting an image to be displayed on a display among the plurality of images on the display (see DeviantArt screenshot slider, allowing users to view and select images), wherein the screen includes a designation field for receiving a designation of the attribute information (see DeviantArt screenshot category pane), and an operable range of the slider bar is limited such that only an image to which the designated attribute information is assigned is set to be selectable (see Deviant Art screenshot slider bar on a page limited by category), however does not explicitly teach an information processing apparatus comprising at least one processor, wherein the processor is configured to do the above process. Tsujimoto teaches an information processing apparatus (“The image processing system according to this embodiment comprises an image server 1201, an image processing apparatus 102 and a display apparatus 103. The image processing apparatus 102 acquires diagnostic image data which was acquired by imaging a test object, and generates display data to be displayed on the display apparatus” paragraph 102) comprising at least one processor (“The image processing apparatus 102 is a standard computer or workstation comprising such hardware resources as a CPU (Central Processing Unit)…” pages 4 (bottom) - 5 (top) paragraph 0014), and additionally teaches wherein the processor is configured to: acquire a plurality of images assigned (“The image processing apparatus 102 acquires diagnostic image data which was acquired by imaging a test object” Paragraph 102) to which mutually independent attribute information is assigned (“annotations are attached to diagnostic images stored in the image server 1201” paragraph 0103 ); and perform control to display that utilizes attribute information so that only an image to which the designated attribute information is assigned is set to be selectable (see Fig 8 (annotation searching), Fig 13A (Search Result Display and Candidate Image Selection), Fig 13B (Displaying selected Image (s)), and Figure 14C for illustration of interface ). Tsujimoto is analogous art in the same field of endeavor as the claimed invention. Tsujimoto is directed towards an interface that filters images based on a designated attribute (see Fig 8 (annotation searching), Fig 13A (Search Result Display and Candidate Image Selection), Fig 13B (Displaying selected Image (s)), and Figure 14C for illustration of interface ). A person of ordinary skill in the art before the effective filing date of the claimed invention would have found it obvious to combine the teachings of DeviantArt with Tsujimoto by utilizing its teachings of a processor powered computer display in support of the interface of DeviantArt, essentially using some of DeviantArt’s interface elements in place of its own (Tsujimoto’s) interface, with the expectation that doing so would enable the combined systems graphics based presentation (see Tsujimoto 14C). With respect to claim 3, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 1. Tsujimoto further teaches wherein: the plurality of images are a group of images that are spatially (“An image for detailed observation is displayed in the observation image display area 1005. In concrete terms, a part or all of the areas of the diagnostic image is/are displayed as an image for detailed observation at a set display magnification. The display magnification of the image for detailed observation is displayed in the section 1006 of the observation image display area 1005. The area of the test object to be observed in detail can be set or updated by a user's instruction via the externally connected input device, such as a touch panel or mouse 411. This setting or update is also possible by moving and zooming in/moving out (changing display magnification) of the currently displayed image. Each of the above mentioned areas may be created by dividing the display area of the general window 1001 by a single document interface, or each of the areas may be created as mutually different window areas by a multi-document interface. Page 23 paragraph 0082) or temporally continuous (“The attribute information is, for example, attached date and time and the type and version of diagnostic support software.” Paragraph 0097 and “In Embodiment 2 however, annotations are attached to diagnostic images stored in the image server 1201, and a target position is searched for in the diagnostic images stored in the image server 1201. Therefore a target position can be searched for in a plurality of diagnostic images. For example, a target position is searched for in a plurality of diagnostic images acquired from one patient. Thereby the progress of one patient can be observed and a state of a same lesion can be easily compared at various locations. Further, by searching a plurality of diagnostic images for a target position, annotations matching with similar cases and conditions can be easily recognized.” Paragraph 0103), and the processor is configured to cause only the image in a range determined based the designated attribute information among the plurality of images to be displayable (“A list 1017 of date and time information included in the stored annotation data may be displayed in another window or as a dialog, so that the user selects the date and time to be the search key out of this list. A plurality of dates and times may be used as a search key, or a certain period may be used as a search key.” Paragraph 0087). With respect to claim 5, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 1. DeviantArt further teaches wherein: each of the plurality of images includes a region of interest (see DeviantArt screenshot and Fractal and Text and Pixel art categories) and the attribute information indicates an attribute of the region of interest (see DeviantArt screenshot and Fractal and Text and Pixel art categories). Tsujimoto additionally teaches wherein: each of the plurality of images includes a region of interest (“In Embodiment 2 however, annotations are attached to diagnostic images stored in the image server 1201, and a target position is searched for in the diagnostic images stored in the image server 1201. Therefore a target position can be searched for in a plurality of diagnostic images. For example, a target position is searched for in a plurality of diagnostic images acquired from one patient. Thereby the progress of one patient can be observed and a state of a same lesion can be easily compared at various locations. Further, by searching a plurality of diagnostic images for a target position, annotations matching with similar cases and conditions can be easily recognized” paragraph 0103), and the attribute information indicates an attribute of the region of interest (“In Embodiment 2 however, annotations are attached to diagnostic images stored in the image server 1201, and a target position is searched for in the diagnostic images stored in the image server 1201. Therefore a target position can be searched for in a plurality of diagnostic images. For example, a target position is searched for in a plurality of diagnostic images acquired from one patient. Thereby the progress of one patient can be observed and a state of a same lesion can be easily compared at various locations. Further, by searching a plurality of diagnostic images for a target position, annotations matching with similar cases and conditions can be easily recognized” paragraph 0103). With respect to claim 6, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 5. DeviantArt further teaches wherein the region of interest is a region of a structure included in the image (see DeviantArt screenshot and Fractal and Text and Pixel art categories). Tsujimoto additionally teaches wherein the region of interest is a region of a structure included in the image (“In concrete terms, the attribute information includes date and time information, user information, diagnostic information, and diagnostic criterion information.” paragraph 0055 page 16 and “The diagnostic criterion information is information summarizing the diagnostic classifications for each organ” paragraph 0055 page 17). With respect to claim 8, DeviantArt and Tsujimoto teaches the information processing apparatus according to claim 5. DeviantArt further teaches wherein the region of interest is a region that is included in the image (see DeviantArt screenshot and Fractal and Text and Pixel art categories) and that is designated by a user (see DeviantArt screenshot and Fractal and Text and Pixel art categories, user tagging for categorization). Tsujimoto additionally teaches wherein the region of interest is a region that is included in the image (“In Embodiment 2 however, annotations are attached to diagnostic images stored in the image server 1201, and a target position is searched for in the diagnostic images stored in the image server 1201. Therefore a target position can be searched for in a plurality of diagnostic images. For example, a target position is searched for in a plurality of diagnostic images acquired from one patient. Thereby the progress of one patient can be observed and a state of a same lesion can be easily compared at various locations. Further, by searching a plurality of diagnostic images for a target position, annotations matching with similar cases and conditions can be easily recognized” paragraph 0103) and that is designated by a user (“The annotation data generating unit 305 acquires information on positional coordinates (coordinates of a position specified by the user (position where the annotation is attached) on the display screen (screen of the display apparatus 103) from the user input information acquiring unit 303. The annotation data generating unit 305 acquires display magnification information from the displaying apparatus information acquiring unit 304. Using this information, the annotation data generating unit 305 converts the positional coordinates on the display screen into positional coordinates on the diagnostic image.” Paragraph 28 (bottom)). With respect to claim 9, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 5. Tsujimoto further teaches wherein the attribute information indicates a type of the region of interest (“In concrete terms, the attribute information includes date and time information, user information, diagnostic information, and diagnostic criterion information.” Paragraph 0055 lines 9-10 page 16 And “The diagnostic criterion information is information summarizing the diagnostic classifications for each organ, according to the actual situation of each country and each region. The diagnostic classification indicates each stage of each organ. In the case of stomach cancer, for example, a diagnostic classification specified by cancer classification code alpha, which is a diagnostic criterion for a region, may be different from a diagnostic classification specified by a cancer classification code beta, which is a diagnostic criterion for another region. Therefore information on the diagnostic criterion and the diagnostic classification used by the user for diagnosing the diagnostic image is attached to the attribute information as diagnostic criterion information. The diagnostic criterion and diagnostic classification will be described later with reference to FIG. 15.” Page 17 paragraph 0055 (middle) and Fig. 15A). With respect to claim 13, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 1. Tsujimoto further teaches wherein the attribute information indicates a purpose for which the image is captured (“Attribute information is used for narrowing down annotations the observer (e.g. doctor, technician) should have an interest in (pay attention to), out of the many annotations attached to the diagnostic image, as mentioned later. Therefore any kind of information can be used as attribute information if the information is useful to narrow down (search) annotations. For example, information on a time when an annotation is attached or on an individual user who is attached as an annotation (an annotation is attached automatically by a computer or manually by an individual), and information on purpose, intention and viewpoint of attaching an annotation, can be used as attribute information.” Paragraph 0028 (top)). With respect to claim 14, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 1. DeviantArt further teaches wherein the attribute information is input by a user (see DeviantArt screenshot and Fractal and Text and Pixel art categories, user tagging for categorization) .Tsujimoto additionally teaches wherein the attribute information is input by a user (“The annotation data generating unit 305 acquires information on positional coordinates (coordinates of a position specified by the user (position where the annotation is attached) on the display screen (screen of the display apparatus 103) from the user input information acquiring unit 303. The annotation data generating unit 305 acquires display magnification information from the displaying apparatus information acquiring unit 304. Using this information, the annotation data generating unit 305 converts the positional coordinates on the display screen into positional coordinates on the diagnostic image. Then the annotation data generating unit 305 generates annotation data, including text information inputted as an annotation (text data), the information on positional coordinates on the diagnostic image, the display magnification information, and the attribute information.” Paragraph 0028 (bottom)). With respect to claim 16, DeviantArt teaches the process comprising: acquiring a plurality of images to which mutually independent attribute information is assigned (see DeviantArt screenshot images tagged to belong to a category); and performing control to display (see DeviantArt screenshot slider, used by users), in a screen, a slider bar for receiving an operation of selecting an image to be displayed on a display among the plurality of images on the display (see DeviantArt screenshot slider, allowing users to view and select images), wherein the screen includes a designation field for receiving a designation of the attribute information (see DeviantArt screenshot category pane), and an operable range of the slider bar is limited such that only an image to which the designated attribute information is assigned is set to be selectable (see Deviant Art screenshot slider bar on a page limited by category), however DeviantArt does not explicitly teach a non-transitory computer-readable storage medium storing an information processing program causing a computer to execute a process. Tsujimoto teaches a non-transitory computer-readable storage medium storing an information processing program causing a computer to execute a process (“The object of the present invention may be achieved by the following. That is, a recording medium (or storage medium) recording the software-based recording program codes, which implement all or a part of the functions of the above mentioned embodiments, is supplied to a system or an apparatus. Then a computer (or CPU or MPU) of the system or an apparatus reads and executes the program codes stored in the recording medium. In this case, the program codes read from the recording medium implement the functions of the above mentioned embodiments, and the recording medium recording the program codes constitutes the present invention.” Page 34 (bottom)-35 (top) paragraph 0115 ), Tsujimoto additionally teaches the process comprising: acquiring a plurality of images to which mutually independent attribute information is assigned (“In Embodiment 2 however, annotations are attached to diagnostic images stored in the image server 1201, and a target position is searched for in the diagnostic images stored in the image server 1201.” Paragraph 0103 (bottom)); and limiting the images, among the plurality of images, to images that are displayable on a display based on the attribute information (see Fig 8 (annotation searching), Fig 13A (Search Result Display and Candidate Image Selection), Fig 13B (Displaying selected Image (s)), and Figure 14C for illustration of interface ). Tsujimoto is analogous art in the same field of endeavor as the claimed invention. Tsujimoto is directed towards an interface that filters images based on a designated attribute (see Fig 8 (annotation searching), Fig 13A (Search Result Display and Candidate Image Selection), Fig 13B (Displaying selected Image (s)), and Figure 14C for illustration of interface ). A person of ordinary skill in the art before the effective filing date of the claimed invention would have found it obvious to combine the teachings of DeviantArt with Tsujimoto by utilizing its teachings of a processor powered computer display in support of the interface of DeviantArt, essentially using some of DeviantArt’s interface elements in place of its own (Tsujimoto’s) interface, with the expectation that doing so would enable the combined systems graphics based presentation (see Tsujimoto 14C). Claims 7, 10-12 are rejected under 35 U.S.C. 103 as being unpatentable over DeviantArt and Tsujimoto as applied to claim 5 above, and further in view of Noguchi (US 20200170624 A1). With respect to claim 7, DeviantArt and Tsujimoto teaches the information processing apparatus according to claim 5, but does not teach the further limitations. Noguchi teaches wherein the region of interest is a region of an abnormal shadow included in the image (“The lesion detector 122 may also set a threshold value 411 for the smoothed distribution 401, detect a shadow region 430 caused by a nipple or a lesion, and a shadow region 431 caused by the probe 104 not in contact with the breast, and excludes the regions 430 and 431 from the filter map 420-2. The threshold value may be set in advance, or the average value of the smoothed distribution 401 may be used for the threshold value.” Paragraph 0055 ). Noguchi is analogous art in the same field of endeavor as the claimed invention. Noguchi is directed towards “an image diagnostic apparatus and an image diagnostic method in the medical field.” (paragraph 0002). A person of ordinary skill in the art before the effective filing date of the claimed invention would have found it obvious to combine the teachings of the combined system of DeviantArt and Tsujimoto, with Noguchi by utilizing Noguchi’s teachings of detecting regions of interest (lesions) as a part of Tsujimoto’s annotation generation system with the expectation that doing so would lead to the expansion of the Tsujimoto’s ability to collect and review diagnostic information (“The present invention is aiming at providing an apparatus and a method that can detect a lesion automatically with a high degree of accuracy in diagnosis using ultrasound images.” Paragraph 0008) and further contribute to categorizing art approach of DeviantArt. With respect to claim 10, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 5, but do not teach any further limitations. Noguchi teaches wherein the attribute information indicates a feature amount of the region of interest (“The lesion detector 122 calculates an average value of feature amounts of a plurality of pixels included in the analysis layer for each analysis layer.” Paragraph 0049 and “Examples of the feature amount of the tomographic image include brightness, dispersion, texture, and co-occurrence feature.” Paragraph 0050). Noguchi is analogous art in the same field of endeavor as the claimed invention. Noguchi is directed towards “an image diagnostic apparatus and an image diagnostic method in the medical field.” (paragraph 0002). A person of ordinary skill in the art before the effective filing date of the claimed invention would have found it obvious to combine the teachings of the combined system of DeviantArt and Tsujimoto, with Noguchi by utilizing Noguchi’s teachings of detecting regions of interest (lesions) as a part of Tsujimoto’s annotation generation system with the expectation that doing so would lead to the expansion of the Tsujimoto’s ability to collect and review diagnostic information (“The present invention is aiming at providing an apparatus and a method that can detect a lesion automatically with a high degree of accuracy in diagnosis using ultrasound images.” Paragraph 0008) and further contribute to categorizing art approach of DeviantArt. With respect to claim 11, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 5, but do not teach any further limitations. Noguchi teaches wherein the processor (see figure 1 120) is configured to: extract the region of interest with respect to each of the plurality of images (“The lesion detector 122 calculates an average value of feature amounts of a plurality of pixels included in the analysis layer for each analysis layer.” Paragraph 0049 and “Examples of the feature amount of the tomographic image include brightness, dispersion, texture, and co-occurrence feature.” Paragraph 0050), and generate the attribute information based on a feature amount of the extracted region of interest (“The lesion detector 122 calculates an average value of feature amounts of a plurality of pixels included in the analysis layer for each analysis layer.” Paragraph 0049 and “Examples of the feature amount of the tomographic image include brightness, dispersion, texture, and co-occurrence feature.” Paragraph 0050; brightness, dispersion, and texture as attribute information). Noguchi is analogous art in the same field of endeavor as the claimed invention. Noguchi is directed towards “an image diagnostic apparatus and an image diagnostic method in the medical field.” (paragraph 0002). A person of ordinary skill in the art before the effective filing date of the claimed invention would have found it obvious to combine the teachings of the combined system of DeviantArt and Tsujimoto, with Noguchi by utilizing Noguchi’s teachings of detecting regions of interest (lesions) as a part of Tsujimoto’s annotation generation system with the expectation that doing so would lead to the expansion of the Tsujimoto’s ability to collect and review diagnostic information (“The present invention is aiming at providing an apparatus and a method that can detect a lesion automatically with a high degree of accuracy in diagnosis using ultrasound images.” Paragraph 0008) and further contribute to categorizing art approach of DeviantArt. With respect to claim 12, DeviantArt, Tsujimoto and Noguchi teach the information processing apparatus according to claim 11, Tsujimoto further teaches wherein the processor is configured to assign information that indicates an extraction method used for extracting the region of interest to an image from which the region of interest is extracted, as the attribute information (“The user attribute is information to indicate a purpose (view point, role) or a method when each user attached an annotation, and possible examples of the user attribute are "pathologist", "technician", "clinician" and "automatic diagnosis". If the user attribute is associated with the annotation as one of the above mentioned user information such that the search can be performed by the user attribute, then understanding the nature of each annotation information and the selection of information become easier, and a pathological diagnostic operation can be smoother in each step of the pathological diagnosis work flow” page 16 paragraph 0044 (bottom)). Noguchi teaches wherein the processor (see Figure 1 element 120) is configured to: extract the region of interest with respect to each of the plurality of images (“The lesion detector 122 calculates an average value of feature amounts of a plurality of pixels included in the analysis layer for each analysis layer.” Paragraph 0049 and “Examples of the feature amount of the tomographic image include brightness, dispersion, texture, and co-occurrence feature.” Paragraph 0050) Claim 17 is rejected under 35 U.S.C. 103 as being unpatentable over DeviantArt and Tsujimoto as applied to claim 1 above, and further in view of Wolf (US 10729502 B1). With respect to claim 17, DeviantArt and Tsujimoto teach the information processing apparatus according to claim 1, but do not explicitly teach the additional claim limitations. Wolf teaches wherein the processor is configured to perform control to display markers having different forms according to the attribute information at corresponding positions of the slider bar (see figure 4). Wolf is analogous art in the same field of endeavor as the claimed invention. Wolf is directed towards outputting images to a display for review (“Consistent with disclosed embodiments, systems, methods, and computer readable media related to reviewing surgical video are disclosed. The embodiments may include accessing at least one video of a surgical procedure and causing the at least one video to be output for display. The embodiments may further include overlaying, on the at least one video outputted for display, a surgical timeline.” See page 43 col 1 lines 54-67). A person of ordinary skill in the art before the effective filing date of the claimed invention would have found it obvious to combine the teachings of DeviantArt and Tsujimoto by incorporating its graphical time based bar into the date limited presentation of DeviantArt’s interface, with the expectation that doing so would enable users to skip directly to a specific image, time, or category , making easier and more time efficient to browse images (“The surgical timeline may enable a surgeon, while viewing playback of the at least one video to select one or more markers on the surgical timeline, and thereby cause a display of the video to skip to a location associated with the selected marker.” Page 43 col 1 lines 63-67). Response to Arguments Applicant’s Remarks filed 04/23/2026 have been fully considered. With respect to applicant’s arguments on pages 7-10, regarding the previously made 101 rejections the examiner agrees that the amendments made to the claims have overcome them. With respect to pages 11-15 of applicant’s remarks, the applicant makes arguments regarding the prior art sources used to make the previously made 102 and 103 rejections. The applicant argues three main points. First the applicant argues that Tsujimoto’s search result list’s tabular interface does not disclose or suggest the claimed slider mechanism now present in amended claim 1, and substantially similar claims 15 and 16. The examiner agrees that, alone, Tsujimoto does not disclose all of the elements in newly amended claim 1 and substantially similar claims 15 and 16. Secondly, the applicant argues that Sakane’s slider mechanism is distinct over the slider mechanism now present in amended claim 1, and substantially similar claims 15 and 16. The examiner again agrees that, alone, Sakane is unable to teach all claim limitations in newly amended claim 1 and substantially similar claims 15 and 16. Thirdly, the applicant argues that a combination of Tsujimoto and Sakane fails to teach the specific GUI control mechanism of the invention, present in claim 1, and substantially similar claims 15 and 16; namely a screen that includes a field allowing for the designation of attribute information and a slider bar that is limited by such designated information, such that only images that meet that criteria are selectable. The examiner agrees that this collection of sources alone does not teach claim 1 and substantially similar claims 15 and 16, fully, in consideration of the newly required interface elements. The applicant additionally concludes, on pages 11 and 15, based on the above arguments that amended claim 1 as well as its dependent claims and substantially similar claims 15 and 16 are rendered allowable. The examiner disagrees, because of the provided updated rejection (see above). In respect to newly added claim 17, discussed on pages 15-16, the applicant argues that the claim is allowable over prior art. The examiner disagrees and finds that at least Wolf (US 10729502 B1) teaches its limitations (see above). Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to REBECCA C WILLIAMS whose telephone number is (571)272-7074. The examiner can normally be reached M-F 7:30am - 4:00pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Andrew W Bee can be reached at (571)270-5183. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /REBECCA COLETTE WILLIAMS/Examiner, Art Unit 2677 /ANDREW W BEE/Supervisory Patent Examiner, Art Unit 2677
Read full office action

Prosecution Timeline

Mar 22, 2024
Application Filed
Jan 30, 2026
Non-Final Rejection mailed — §102, §103
Mar 17, 2026
Applicant Interview (Telephonic)
Mar 17, 2026
Examiner Interview Summary
Apr 23, 2026
Response Filed
Jul 27, 2026
Final Rejection mailed — §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12718365
INTELLIGENT PLAN OPTIMIZATION METHOD AND SYSTEM
2y 4m to grant Granted Aug 25, 2026
Patent 12705526
Image processing using photonic quantum computing
3y 7m to grant Granted Aug 11, 2026
Patent 12633080
SYSTEMS AND METHODS FOR INSPECTION OF GAS PLUME USING OBJECT DETECTION AND SEGMENTATION MODELS
1y 5m to grant Granted May 19, 2026
Patent 12626335
IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM
2y 10m to grant Granted May 12, 2026
Patent 12620212
Locked-Model Multimodal Contrastive Tuning
3y 6m to grant Granted May 05, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
46%
Grant Probability
99%
With Interview (+63.6%)
3y 4m (~10m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 13 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month