Prosecution Insights
Last updated: May 04, 2026
Application No. 18/724,288

POINT CLOUD DATA TRANSMISSION DEVICE AND METHOD PERFORMED BY TRANSMISSION DEVICE, AND POINT CLOUD DATA RECEPTION DEVICE AND METHOD PERFORMED BY RECEPTION DEVICE

Final Rejection §102§103
Filed
Jun 26, 2024
Priority
Jan 11, 2022 — provisional 63/298,547 +2 more
Examiner
NGUYEN, KATHLEEN V
Art Unit
2486
Tech Center
2400 — Computer Networks
Assignee
LG Electronics Inc.
OA Round
2 (Final)
66%
Grant Probability
Favorable
3-4
OA Rounds
1y 1m
Est. Remaining
92%
With Interview

Examiner Intelligence

Grants 66% — above average
66%
Career Allowance Rate
190 granted / 289 resolved
+7.7% vs TC avg
Strong +26% interview lift
Without
With
+26.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
23 currently pending
Career history
312
Total Applications
across all art units

Statute-Specific Performance

§101
2.6%
-37.4% vs TC avg
§103
59.3%
+19.3% vs TC avg
§102
19.6%
-20.4% vs TC avg
§112
16.7%
-23.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 289 resolved cases

Office Action

§102 §103
DETAILED ACTION This Office Action is in response to the amendment filed on 12/31/2025, wherein claims 1-15 have been examined and are pending. This Action is Final. 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 The information disclosure statement (IDS) submitted on 11/19/2025. The submission is in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is being considered by the examiner. Response to Amendment/ Argument Applicant's arguments with respect to independent claim 1, filed on 01/12/2016, have been considered but are moot in new ground of rejection. The previously cited references Kammachi and Gugumasu disclose all the limitations as cited in independent claims 1, 12 and 14-15. See the following rejection. Regarding claims 1, 12 and 14-15, Applicant argues that Kammachi and Gugumasu do not disclose determine a target temporal level. However, Gudumasu [0275] dicloses stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded and [0279], [0308], [0312] discloses temporal_layer_id used to indicate a determined temporal layer. Hence, Gudumasu discloses determine a target temporal level, and identifying a track set including one or more tracks from the point cloud data based on the target temporal level as cited in claims 1, 12 and 14-15. Claim Rejections - 35 USC § 103 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 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 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. The factual inquiries set forth in Graham v. John Deere Co., 383 U.S. 1, 148 USPQ 459 (1966), that are applied for establishing a background for determining obviousness under AIA 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. 1. Claims 1, 3, 12 and 14-15 are rejected under 35 U.S.C. 103 as being unpatentable over Kammachi Sreedhar et al. (U.S. 2021/0314626) hereinafter Kammachi, in view of Gudumasu et al. (U.S. 2023/0281923) hereinafter Gudumasu. Regarding claim 1, Kammachi discloses a method performed in a reception device of point cloud data (Kammachi [0134]), the method comprising: identifying a track set including one or more tracks from the point cloud data based on the target temporal level; and extracting one or more samples from the identified track set, wherein each track included in the track set includes a temporal level less than or equal to the target temporal level (Kammachi [0031], [0125]-[0128]: video-based point cloud compression (V-PCC) using tracks; [0103]: samples mapped to level n may depend on any sample of levels m where m<=n. Levels can be specified according to temporal sub-layer (i.e. TemporalId). A feature can be specified through a sample grouping of tracks. Temporal Level sample grouping can be used to indicate a mapping of pictures to temporal levels. Hence, tracks in a track set can be identified based on predetermined temporal level, and tracks includes a temporal level less than or equal to a target temporal level TemporalID. The Level Assignment box provides a mapping from features, such as temporal sub-levels, to levels, wherein the features can be specified through a track or grouping of tracks). Kammachi does not explicitly disclose determine a target temporal level. Gudumasu discloses determine a target temporal level; identifying a track set including one or more tracks from the point cloud data based on the target temporal level (Gudumasu [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to use the system and method, as disclosed by Kammachi, and further incorporate having determine a target temporal level, as taught by Gudumasu, for efficient representation and processing of data (Gudumasu [0002]). Regarding claim 12, Kammachi discloses a reception device of point cloud data, the reception device comprising: a memory, and at least one processor (Kammachi [0032], [0040], [0209], [0211]), wherein the at least one processor is configured to: identify a track set including one or more tracks from the point cloud data based on the target temporal level; and extract one or more samples from the identified track set, wherein each track included in the track set includes a temporal level less than or equal to the target temporal level (Kammachi [0031], [0125]-[0128]: video-based point cloud compression (V-PCC) using tracks; [0103]: samples mapped to level n may depend on any sample of levels m where m<=n. Levels can be specified according to temporal sub-layer (i.e. TemporalId). A feature can be specified through a sample grouping of tracks. Temporal Level sample grouping can be used to indicate a mapping of pictures to temporal levels. Hence, tracks in a track set can be identified based on predetermined temporal level, and tracks includes a temporal level lass than or equal to a target temporal level TemporalID. The Level Assignment box provides a mapping from features, such as temporal sub-levels, to levels, wherein the features can be specified through a track or grouping of tracks). Kammachi does not explicitly disclose determine a target temporal level. Gudumasu discloses determine a target temporal level; identifying a track set including one or more tracks from the point cloud data based on the target temporal level (Gudumasu [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to use the system and method, as disclosed by Kammachi, and further incorporate having determine a target temporal level, as taught by Gudumasu, for efficient representation and processing of data (Gudumasu [0002]). Regarding claim 14, Kammachi discloses a method performed in a transmission device of point cloud data. the method comprising: partitioning a bitstream including the point cloud data and storing it in a plurality of tracks (Kammachi [0125]-[0128], [0156]: tracks of point cloud PCC data); and generating a geometry-based point cloud compression (G-PCC) file based on the tracks (Kammachi [0125]-[0128], [0156]: video coded point cloud PCC including geometry bitstream and tracks), wherein the plurality of tracks includes at least one of temporal level tracks or temporal level tile tracks, wherein the temporal level tracks are decapsulated by the sample extraction process based on the target temporal level, and wherein the temporal level tile tracks are decapsulated by a the sample extraction process based on the target temporal level and a predetermined target tile identifier list (Kammachi [0031], [0125]-[0128]: video-based point cloud compression (V-PCC) using tracks; [0103]: samples mapped to level n may depend on any sample of levels m where m<=n. Levels can be specified according to temporal sub-layer (i.e. TemporalId). A feature can be specified through a sample grouping of tracks. Temporal Level sample grouping can be used to indicate a mapping of pictures to temporal levels. Hence, tracks in a track set can be identified based on predetermined temporal level, and tracks includes a temporal level lass than or equal to a target temporal level TemporalID. The Level Assignment box provides a mapping from features, such as temporal sub-levels, to levels, wherein the features can be specified through a track or grouping of tracks). Kammachi does not explicitly disclose wherein a target temporal level is determined by a sample extraction process. Gudumasu discloses wherein a target temporal level is determined by a sample extraction process (Gudumasu [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to use the system and method, as disclosed by Kammachi, and further incorporate having wherein a target temporal level is determined by a sample extraction process, as taught by Gudumasu, for efficient representation and processing of data (Gudumasu [0002]). Regarding claim 15, Kammachi discloses a transmission device of point cloud data, the reception device comprising: a memory, and at least one processor (Kammachi [0032], [0040], [0209], [0211]), wherein the at least one processor is configured to: partition a bitstream including the point cloud data and store it in a plurality of tracks (Kammachi [0125]-[0128], [0156]: tracks of point cloud PCC data); and generate a geometry based point cloud compression (G-PCC) file based on the tracks (Kammachi [0125]-[0128], [0156]: video coded point cloud PCC including geometry bitstream and tracks), wherein the plurality of tracks includes at least one of temporal level tracks or temporal level tile tracks, wherein the temporal level tracks are decapsulated by the sample extraction process based on the target temporal level, and wherein the temporal level tile tracks are decapsulated by the sample extraction process based on the target temporal level and a predetermined target tile identifier list (Kammachi [0031], [0125]-[0128]: video-based point cloud compression (V-PCC) using tracks; [0103]: samples mapped to level n may depend on any sample of levels m where m<=n. Levels can be specified according to temporal sub-layer (i.e. TemporalId). A feature can be specified through a sample grouping of tracks. Temporal Level sample grouping can be used to indicate a mapping of pictures to temporal levels. Hence, tracks in a track set can be identified based on predetermined temporal level, and tracks includes a temporal level lass than or equal to a target temporal level TemporalID. The Level Assignment box provides a mapping from features, such as temporal sub-levels, to levels, wherein the features can be specified through a track or grouping of tracks). Kammachi does not explicitly disclose wherein a target temporal level is determined by a sample extraction process. Gudumasu discloses wherein a target temporal level is determined by a sample extraction process (Gudumasu [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to use the system and method, as disclosed by Kammachi, and further incorporate having wherein a target temporal level is determined by a sample extraction process, as taught by Gudumasu, for efficient representation and processing of data (Gudumasu [0002]). Regarding claim 3, Kammachi and Gudumasu disclose all the limitations of claim 1. Kammachi discloses wherein based on the tracks being temporal level tracks, each of the extracted samples belongs to a temporal level less than equal to the target temporal level (Kammachi [0031], [0125]-[0128]: video-based point cloud compression (V-PCC) using tracks; [0103]: samples mapped to level n may depend on any sample of levels m where m<=n. Levels can be specified according to temporal sub-layer (i.e. TemporalId). A feature can be specified through a sample grouping of tracks. Temporal Level sample grouping can be used to indicate a mapping of pictures to temporal levels. The Level Assignment box provides a mapping from features, such as temporal sub-levels, to levels, wherein the features can be specified through a track or grouping of tracks). Claim Rejections - 35 USC § 102 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)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. 2. Claims 1-4, 7-8 and 12-15 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Gudumasu et al. (U.S. 2023/0281923) hereinafter Gudumasu. Regarding claim 1, Gudumasu discloses a method performed in a reception device of point cloud data (Gudumasu [0010], [0090]), the method comprising: determine a target temporal level; identifying a track set including one or more tracks from the point cloud data based on the target temporal level: and extracting one or more samples from the identified track set, wherein each track included in the track set includes a temporal level less than or equal to the target temporal level (Gudumasu Abstract, [0275]-[0277]: dividing the point cloud PCC frames based on the temporal layers. A PCC streaming application may stream only a specific temporal layer ID frames. Scalability of a sample entry of tracks of PCC data; [0279]-[0290], [0299], [0302]: PCC frames are divided into temporal layers with temporal layer identifiers. PCC tile track with tiles belonging to one or more temporal layers; [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample, hence extracting samples based on temporal level. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, track includes temporal level less than or equal to the target temporal level; [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). Regarding claim 12, Gudumasu discloses a reception device of point cloud data, the reception device comprising: a memory, and at least one processor (Gudumasu [0010], [0045]: transmit/receive unit WTRU include processor and memory) wherein the at least one processor is configured to: determine a target temporal level; identify a track set including one or more tracks from the point cloud data based on the target temporal level; and extract one or more samples from the identified track set, wherein each track included in the track set includes a temporal level less than or equal to the target temporal level (Gudumasu Abstract, [0275]-[0277]: dividing the point cloud PCC frames based on the temporal layers. A PCC streaming application may stream only a specific temporal layer ID frames. Scalability of a sample entry of tracks of PCC data; [0279]-[0290], [0299], [0302]: PCC frames are divided into temporal layers with temporal layer identifiers. PCC tile track with tiles belonging to one or more temporal layers; [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample, hence extracting samples based on temporal level. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, track includes temporal level less than or equal to the target temporal level; [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). Regarding claim 14, Gudumasu discloses a method performed in a transmission device of point cloud data. the method comprising: partitioning a bitstream including the point cloud data and storing it in a plurality of tracks (Gudumasu [0096]-[0102]: tracks of point cloud PCC data): and generating a geometry-based point cloud compression (G-PCC) file based on the tracks (Gudumasu [0090], [0099]-[0102]: geometry-based point cloud compression G-PCC tracks), wherein the plurality of tracks includes at least one of temporal level tracks or temporal level tile tracks, wherein a target temporal level is determined by a sample extraction process, wherein the temporal level tracks are decapsulated by the sample extraction process based on the target temporal level, and wherein the temporal level tile tracks are decapsulated by the sample extraction process based on the target temporal level and a predetermined target tile identifier list (Gudumasu Abstract, [0275]-[0277]: dividing the point cloud PCC frames based on the temporal layers. A PCC streaming application may stream only a specific temporal layer ID frames. Scalability of a sample entry of tracks of PCC data; [0279]-[0290], [0299], [0302]: PCC frames are divided into temporal layers with temporal layer identifiers. PCC tile track with tiles belonging to one or more temporal layers; [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample, hence extracting samples based on temporal level. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, track includes temporal level less than or equal to the target temporal level; [0297], [0294]: tile identifier for PCC tile corresponding to samples in a respective track; [0106]-[0111]: PCC tile tracks; [0130]-[0136]: tile identifiers for tile track samples. Samples in a tile track can contain a maximum number of tile with corresponding tile identifiers; [0159]: decoding method comprises obtaining meta data track comprises plurality of tile identifiers, i.e. target tile identifier list. At least one tile is selected from the plurality of tiles. The at least one selected tile corresponds to at least one tile identifier, i.e. target tile identifier; [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). Regarding claim 15, Gudumasu discloses a transmission device of point cloud data, the reception device comprising: a memory, and at least one processor (Gudumasu [0010], [0045]: transmit/receive unit WTRU include processor and memory), wherein the at least one processor is configured to: partition a bitstream including the point cloud data and store it in a plurality of tracks (Gudumasu [0096]-[0102]: tracks of point cloud PCC data): and generate a geometry based point cloud compression (G-PCC) file based on the tracks (Gudumasu [0090], [0099]-[0102]: geometry-based point cloud compression G-PCC tracks), wherein the plurality of tracks includes at least one of temporal level tracks or temporal level tile tracks, wherein a target temporal level is determined by a sample extraction process, wherein the temporal level tracks are decapsulated by the sample extraction process based on the target temporal level, and wherein the temporal level tile tracks are decapsulated by the sample extraction process based on the target temporal level and a predetermined target tile identifier list (Gudumasu Abstract, [0275]-[0277]: dividing the point cloud PCC frames based on the temporal layers. A PCC streaming application may stream only a specific temporal layer ID frames. Scalability of a sample entry of tracks of PCC data; [0279]-[0290], [0299], [0302]: PCC frames are divided into temporal layers with temporal layer identifiers. PCC tile track with tiles belonging to one or more temporal layers; [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample, hence extracting samples based on temporal level. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, track includes temporal level less than or equal to the target temporal level; [0297], [0294]: tile identifier for PCC tile corresponding to samples in a respective track; [0106]-[0111]: PCC tile tracks; [0130]-[0136]: tile identifiers for tile track samples. Samples in a tile track can contain a maximum number of tile with corresponding tile identifiers; [0159]: decoding method comprises obtaining meta data track comprises plurality of tile identifiers, i.e. target tile identifier list. At least one tile is selected from the plurality of tiles. The at least one selected tile corresponds to at least one tile identifier, i.e. target tile identifier; [0275]: stream specific temporal layer ID frames. Frames of an individual temporal layer can be decoded; [0279], [0308], [0312]: temporal_layer_id). Regarding claims 2 and 13, Gudumasu discloses all the limitations of claims 1 and 12, respectively. Gudumasu discloses wherein based on the tracks being temporal level tile tracks, each track included in the track set includes a tile identifier included in a predetermined target tile identifier list (Gudumasu [0297], [0294]: tile identifier for PCC tile corresponding to samples in a respective track; [0106]-[0111]: PCC tile tracks; [0130]-[0136]: tile identifiers for tile track samples. Samples in a tile track can contain a maximum number of tiles with corresponding tile identifiers; [0159]: decoding method comprises obtaining meta data track comprises plurality of tile identifiers, i.e. target tile identifier list. At least one tile is selected from the plurality of tiles. The at least one selected tile corresponds to at least one tile identifier, i.e. target tile identifier. Hence, sample includes tile identifier included in target tile identifier list). Regarding claim 3, Gudumasu discloses all the limitations of claim 1. Gudumasu discloses wherein based on the tracks being temporal level tracks, each of the extracted samples belongs to a temporal level less than equal to the target temporal level (Gudumasu [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, extracted samples belong to temporal level less than or equal to the target temporal level). Regarding claim 4, Gudumasu discloses all the limitations of claim 1. Gudumasu discloses wherein based on the tracks being temporal level tracks, each of the extracted samples belongs to a temporal level less than or equal to the target temporal level (Gugumasu [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, extracted samples belong to temporal level less than or equal to the target temporal level) and has a presentation time greater than a predetermined first presentation time (Gudumasu [0110], [0144], [0159]: G-PCC base track sample is identified using presentation time of the sample. Utilizing a first track reference type associated with the at least one geometry tile track, a base track including initialization data for the at least one selected tile is identified. Hence, predetermined first presentation time; [0115]: The base track sample’s presentation time, i.e. predetermined first presentation time, is equal to or less than the tile track sample presentation time. Hence, the track sample has presentation time greater than a first presentation time). Regarding claim 7, Gudumasu discloses all the limitations of claim 1. Gudumasu discloses wherein based on the tracks being temporal level tile tracks, each of the extracted samples belongs to a temporal level less than or equal to the target temporal level (Gugumasu [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, extracted samples belong to temporal level less than or equal to the target temporal level) and includes a tile identifier included in the target tile identifier list (Gugumasu [0297], [0294]: tile identifier for PCC tile corresponding to samples in a respective track; [0106]-[0111]: PCC tile tracks; [0130]-[0136]: tile identifiers for tile track samples. Samples in a tile track can contain a maximum number of tiles with corresponding tile identifiers; [0159]: decoding method comprises obtaining meta data track comprises plurality of tile identifiers, i.e. target tile identifier list. At least one tile is selected from the plurality of tiles. The at least one selected tile corresponds to at least one tile identifier, i.e. target tile identifier. Hence, sample includes tile identifier included in target tile identifier list). Regarding claim 8, Gudumasu discloses all the limitations of claim 1. Gudumasu discloses wherein based on the tracks being temporal level tile tracks, each of the extracted samples belongs to a temporal level less than or equal to the target temporal level (Gugumasu [0311]-[0312], Claim 12: samples of PCC in a track are grouped based on the temporal level of the sample. The sample with temporal level TemporalId is mapped to the sample group description index TemporalId+1, i.e. target temporal level. Hence, extracted samples belong to temporal level less than or equal to the target temporal level), includes a tile identifier included in the target tile identifier list (Gugumasu [0297], [0294]: tile identifier for PCC tile corresponding to samples in a respective track; [0106]-[0111]: PCC tile tracks; [0130]-[0136]: tile identifiers for tile track samples. Samples in a tile track can contain a maximum number of tiles with corresponding tile identifiers; [0159]: decoding method comprises obtaining meta data track comprises plurality of tile identifiers, i.e. target tile identifier list. At least one tile is selected from the plurality of tiles. The at least one selected tile corresponds to at least one tile identifier, i.e. target tile identifier. Hence, sample includes tile identifier included in target tile identifier list), and has a presentation time greater than a predetermined first presentation time (Gudumasu [0110], [0144], [0159]: G-PCC base track sample is identified using presentation time of the sample. Utilizing a first track reference type associated with the at least one geometry tile track, a base track including initialization data for the at least one selected tile is identified. Hence, predetermined first presentation time; [0115]: The base track sample’s presentation time, i.e. predetermined first presentation time, is equal to or less than the tile track sample presentation time. Hence, the track sample has presentation time greater than a first presentation time). Allowable Subject Matter Claims 5-6 and 9-11 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. The following is an examiner’s statement of reasons for allowance: In light of the specification, the Examiner finds the claimed invention to be patentably distinct from the prior art of record. Regarding claim 5, the prior arts of record, taken individually or in combination fail to explicitly teach or render obvious within the context of the claims the feature of the first presentation time is set to a presentation time of a last played sample among the extracted samples as cited in claim 5. Regarding claim 6, the prior arts of record, taken individually or in combination fail to explicitly teach or render obvious within the context of the claims the feature of based on extraction of the samples being performed first, the first presentation time is set to a minimum possible presentation time as cited in claim 6. Regarding claim 9, the prior arts of record, taken individually or in combination fail to explicitly teach or render obvious within the context of the claims the feature of based on at least one of target parameters including the target temporal level being changed. a target change time is set to a predetermined value, and wherein first samples and second samples having a presentation time greater than the target change time among the extracted samples are discarded as cited in claim 9. Claims 10-11 are allowable because they depend on allowable parent claim 9 as set forth above. Any comments considered necessary by applicant must be submitted no later than the payment of the issue fee and, to avoid processing delays, should preferably accompany the issue fee. Such submissions should be clearly labeled “Comments on Statement of Reasons for Allowance.” 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 KATHLEEN V NGUYEN whose telephone number is (571)270-0626. The examiner can normally be reached on M-F 9:00am-6:00pm. 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, Jamie Atala can be reached on 571-272-7384. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /KATHLEEN V NGUYEN/Primary Examiner, Art Unit 2486
Read full office action

Prosecution Timeline

Jun 26, 2024
Application Filed
Sep 27, 2025
Non-Final Rejection — §102, §103
Dec 31, 2025
Response Filed
Apr 04, 2026
Final Rejection — §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12615370
IMAGE DECODING METHOD AND APPARATUS THEREFOR
2y 6m to grant Granted Apr 28, 2026
Patent 12606092
CAMERA MIRROR SYSTEM WITH DARK DOCKING IR LED
10m to grant Granted Apr 21, 2026
Patent 12593133
TRACKING SYSTEM
10m to grant Granted Mar 31, 2026
Patent 12587674
BIT DEPTH VARIABLE FOR HIGH PRECISION DATA IN WEIGHTED PREDICTION SYNTAX AND SEMANTICS
1y 8m to grant Granted Mar 24, 2026
Patent 12578680
APPARATUS AND METHOD FOR REPRODUCING HOLOGRAM IMAGE
3y 1m to grant Granted Mar 17, 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
66%
Grant Probability
92%
With Interview (+26.0%)
2y 11m (~1y 1m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 289 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