Prosecution Insights
Last updated: October 25, 2026
Application No. 18/916,869

METHOD AND SYSTEM FOR DIGITALLY SIGNING AUDIO AND VIDEO DATA

Non-Final OA §103
Filed
Oct 16, 2024
Priority
Nov 29, 2023 — EU 23212994.0
Examiner
TEKLE, DANIEL T
Art Unit
2481
Tech Center
2400 — Computer Networks
Assignee
Axis AB
OA Round
3 (Non-Final)
63%
Grant Probability
Moderate
3-4
OA Rounds
1y 6m
Est. Remaining
57%
With Interview

Examiner Intelligence

Grants 63% of resolved cases
63%
Career Allowance Rate
486 granted / 767 resolved
+5.4% vs TC avg
Minimal -6% lift
Without
With
+-6.0%
Interview Lift
resolved cases with interview
Typical timeline
3y 6m
Avg Prosecution
23 currently pending
Career history
805
Total Applications
across all art units

Statute-Specific Performance

§101
9.9%
-30.1% vs TC avg
§103
46.8%
+6.8% vs TC avg
§102
32.4%
-7.6% vs TC avg
§112
4.0%
-36.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 767 resolved cases

Office Action

§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 . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on June 17, 2026 has been entered. Response to Arguments Applicant’s arguments with respect to claims 1-20 have been considered but are moot because the new ground of rejection does not rely on the newly discover art of Altenburger applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. 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. The factual inquiries for establishing a background for determining obviousness under 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. Claim(s) 1-16 and 19-20 are rejected under 35 U.S.C. 103 as being unpatentable over Kvochko US 11,368,289 further in view of Altenburger et al. US 2018/0288362 In regarding to claim 1: Kvochko teaches: 1. A method of digitally signing a video sequence and an audio sequence, the audio and the video sequences having been captured at the same time such that they represent the same captured scene, the video sequence comprising successive video portions and the audio sequence comprising successive audio portions, the method comprising: generating a first video digest by applying a digest algorithm to a first video portion of the video sequence, (24) FIGS. 2A and 2B present an example of the process by which registration server 102 registers source video 114a in blockchain 123, thereby storing a record of source video 114a in blockchain 123. As illustrated in FIG. 2A, source video 114a includes a set of video frames 202. Each frame 202 includes a set of pixels 204. In response to receiving source video 114a, registration server 102 splits source video 114a into a series of video segments 206 and then uses hash function 130 to generate a hash value 208 for each video segment 206, based on the pixels 204 included in the video segment. As illustrated in FIG. 2B, registration server 102 then stores each hash value 208 as part of a transaction 216 in a block 124 of blockchain 123. In this manner, registration server 102 stores a record of each video segment 206 in blockchain 123, such that a later modification to a particular video segment of a copy of source video 114a may be detectable by generating a hash value of that video segment and comparing it to the hash value stored in blockchain 123. (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. generating a first audio digest by applying a digest algorithm to a first audio portion of the audio sequence, (29) After splitting audio 210 into a set of audio segments 212, registration server 102 obtains a hash value 214 for each segment by applying a hash function 130b to the set of audio signals included in the segment. For example, registration server 102 obtains hash value 214a for first audio segment 212a by applying hash function 130b to the values of the audio signals included in first audio segment 212a, hash value 214b for second video segment 212b by applying hash function 130b to the values of the audio signals included in second audio segment 212b, and hash value 214c for third audio segment 212c by applying hash function 130b to the values of the audio signals included in third audio segment 212c. Hash function 130b may be the same hash function as hash function 130a or a different hash function from hash function 130a. Kvochko, Col. 12 lines 7-21, emphasis added. generating a first video signature by digitally signing the first video digest, (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. generating a first audio signature by digitally signing the first audio digest, (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. However, Kvochko fails to explicitly teach, but Altenburger teaches: cross-inserting the first video signature in a first target audio portion of the audio sequence, and the first audio signature in a first target video portion of the video sequence, [0094] Those skilled in the art will note from the description provided herein that, according to an aspect of the present invention, there is provided a computer-implemented method for integrity verification of an audio-visual data stream. The method includes: inserting a watermark into a frame of the visual data stream and/or into an audio window of a corresponding audio data stream, wherein the watermark includes a hash code of the previous frame of the visual data stream and a hash code of the audio window of the audio data stream, where the audio window corresponds in time to the previous frame of the visual data stream. Altenburger, 0094-0099 and Figs. 4a-5b, emphasis added. Accordingly, it would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to combine the teaching of Altenburger with the system of Kvochko in order cross-inserting the first video signature in a first target audio portion of the audio sequence, and the first audio signature in a first target video portion of the video sequence, as such, the system process the ability to tell that, neither the audio or video has been cut, edited or synced incorrectly is a valuable feature if the film is used in evidence later..—0002. Furthermore, Kvochko teaches: generating a second video digest by applying a digest algorithm to the first target video portion including the first audio signature, (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. generating a second audio digest by applying a digest algorithm to the first target audio portion including the first video signature, (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. generating a second video signature by digitally signing the second video digest, and generating a second audio signature by digitally signing the second audio digest. (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. Note: The motivation that applied to claim 1 above, applies equally as well to claims 2-16 and 19-20 as presented below. In regarding to claim 2: Kvochko and Altenburger teaches: 2. The method according to claim 1, furthermore, Kvochko teaches comprising: inserting the second video signature in a second target audio portion of the audio sequence, and inserting the second audio signature in a second target video portion of the video sequence. (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. In regarding to claim 3: Kvochko and Altenburger teaches: 3. The method according to claim 1, furthermore, Kvochko teaches comprising: inserting the first video signature, also in a video portion of the video sequence, and inserting the first audio signature, also in an audio portion of the audio sequence. (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 10 lines, 28-45 and Col. 11 line 55 to Col. 12 line 6, emphasis added. In regarding to claim 4: Kvochko and Altenburger teaches: 4. The method according to claim 2, furthermore, Kvochko teaches comprising inserting the second video signature, also in a video portion of the video sequence, and inserting the second audio signature also in an audio portion of the audio sequence. (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 11 line 41 to Col. 12 line 6, emphasis added. In regarding to claim 5: Kvochko and Altenburger teaches: 5. The method according to claim 1, furthermore, Kvochko teaches: wherein the digest algorithm is a hash function. (27) After splitting source video 114a into a set of video segments 206, registration server 102 obtains a hash value 208 for each segment by applying a hash function 130a to the set of pixels included in the segment. For example, registration server 102 obtains hash value 208a for first video segment 206a by applying hash function 130a to the values of the pixels included in first video segment 206a, hash value 208b for second video segment 206b by applying hash function 130a to the values of the pixels included in second video segment 206b, and hash value 208c for third video segment 206c by applying hash function 130a to the values of the pixels included in third video segment 206c. As described above, hash function 130a may be a cryptographic hash function or a perceptual hash function. Kvochko, Col. 11 line 41 to Col. 12 line 6, emphasis added. In regarding to claim 6: Kvochko and Altenburger teaches: 6. The method according to claim 1, furthermore, Kvochko teaches wherein each video portion is a group of pictures. Kvochko, Fig. 2A at least item 202 In regarding to claim 7: Kvochko and Altenburger teaches: 7. The method according to claim 1, furthermore, Kvochko teaches wherein each audio portion is an audio frame or audio packet. Kvochko, Fig.2A item 210 In regarding to claim 8: Kvochko and Altenburger teaches: 8. The method according to claim 1, furthermore, Kvochko teaches wherein each audio signature is inserted in a respective SEI message or Open Bitstream Unit of the video sequence. Kvochko, Col. 15 line 46-59 In regarding to claim 9: Kvochko and Altenburger teaches: 9. The method according to claim 1, furthermore, Kvochko teaches wherein each video signature is inserted in a respective data stream element or header of the audio sequence. (42) As illustrated in FIGS. 4A and 4B, target video includes a set of video frames 402 and a set of metadata 406. Each frame 402 includes a set of pixels. In certain embodiments, in response to receiving a target video 137 from user 106 for authentication, authentication server 104 determines whether metadata 406 includes an identifier 218a corresponding to a block 124a in blockchain 123. If metadata 406 does not include identifier 218a, authentication server 104 may transmit a message 138 to user 106 indicating that target video 137 is not authentic. If metadata 406 includes identifier 218a, authentication server 104 may use it to locate block 124a within blockchain 123, where block 124a is the first block 124 within blockchain 123 that stores information relating to source video 114a. (28) In addition to generating hash values from video segments 206, in certain embodiments, registration server 102 generates hash values based on the audio 210 of source video 114a. For example, registration server 102 may split audio 210 into a set of audio segments 212, where each audio segment 212 corresponds to a given video segment 206. For example, first audio segment 212a may include the audio of source video 114a between starting timestamp 207a and ending timestamp 207b, thereby corresponding to first video segment 206a, which includes video frames 202a through 202g. Similarly, second audio segment 212b may include the audio of source video 114a between starting timestamp 207b and ending timestamp 207c, thereby corresponding to second video segment 206b, which includes video frames 202h through 202n, and third audio segment 212c may include the audio of source video 114a between starting timestamp 207c and ending timestamp 207d, thereby corresponding to third video segment 206c, which includes video frames 202o through 202u. Kvochko, Col. 11 line 55 to Col. 12 line 6 and Col. 15 lines 46-59, emphasis added. In regarding to claim 10: Kvochko and Altenburger teaches: 10. The method according to claim 1, furthermore, Kvochko teaches wherein the video sequence and the audio sequence have been captured by a single device comprising an image sensor and a microphone. Kvochko, Fig. 2A items 206 and 210 Claims 11-13 list all similar elements of claims 1-2 and 10, but in system form rather than method form. Therefore, the supporting rationale of the rejection to claims 1-2 and 10 applies equally as well to claims 11-13. Claim 14 list all similar elements of claim 1, but in computer-readable medium form rather than method form. Therefore, the supporting rationale of the rejection to claim 1 applies equally as well to claim 14. In regarding to claim 15: Kvochko and Altenburger teaches: 15. (New) The method according to claim 1, furthermore, Kvochko teaches wherein the second video signature is generated based on the first target video portion including the first audio signature, such that validation of the second video signature confirms a link to the audio sequence. Kvochko, Col. 7 line 14 to col. 8 line 3 In regarding to claim 16: Kvochko and Altenburger teaches: 16. (New) The method according to claim 1, furthermore, Kvochko teaches wherein the second audio signature is generated based on the first target audio portion including the first video signature, such that validation of the second audio signature confirms a link to the video sequence. Kvochko, Col. 17 line 38 to col. 18 line 3 In regarding to claim 19: Kvochko and Altenburger teaches: 19. (New) The method according to claim 1, furthermore, Altenburger teaches: wherein the cross-inserting of the first video and the first audio signatures, respectively, into the audio and video sequences subsequently requires authentication of the video sequence by the audio sequence or authentication of the audio sequence by the video sequence. Altenburger, 0094-0099 and Figs. 4a-5b, In regarding to claim 20: Kvochko and Altenburger teaches: 20. (New) The method according to claim 1, furthermore, Altenburger teaches: wherein a presence of the first audio signature in the first target video portion links the video sequence to the audio sequence and a presence of the first video signature in the first target audio portion links the audio sequence to the video sequence. Altenburger, 0094-0099 and Figs. 4a-5b, 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 17-18 are rejected under 35 U.S.C. 103 as being unpatentable over Kvochko US 11,368,289 and Altenburger et al. US 2018/0288362. In regarding to claim 17: Kvochko and Altenburger teaches: 17. (New) The method according to claim 1, however, Kvochko and Altenburger fail to explicitly teach wherein the routines wherein the first target video portion is a video portion being captured and encoded when the first audio signature is generated, or an upcoming video portion the capture and encoding of which has not yet started when the first audio signature is generated. Official Notice is taken that both the concept and the advantage of implementing wherein the first target video portion is a video portion being captured and encoded when the first audio signature is generated, or an upcoming video portion the capture and encoding of which has not yet started when the first audio signature is generated are well known and expected in the art. Thus, it would have been obvious to one skilled in the art, before the effective filing of the claimed invention, to utilize said feature within said system taught by Kvochko and Altenburger, because such incorporation would result by encoding audio and video separately, you can ensure that each component is optimized for its specific requirements, which can lead to efficiency use of audio and video data within the system. In regarding to claim 18: Kvochko and Altenburger teaches: 18. (New) The method according to claim 1, however, Kvochko and Altenburger fail to explicitly teach wherein the first target audio portion is an audio portion being captured and encoded when the first video signature is generated, or an upcoming audio portion the capture and encoding of which has not yet started when the first video signature is generated. Official Notice is taken that both the concept and the advantage of implementing wherein the first target audio portion is an audio portion being captured and encoded when the first video signature is generated, or an upcoming audio portion the capture and encoding of which has not yet started when the first video signature is generated are well known and expected in the art. Thus, it would have been obvious to one skilled in the art, before the effective filing of the claimed invention, to utilize said feature within said system taught by Kvochko. and Altenburger, because such incorporation would result by encoding audio and video separately, you can ensure that each component is optimized for its specific requirements, which can lead to efficiency use of audio and video data within the system. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to DANIEL T TEKLE whose telephone number is (571)270-1117. The examiner can normally be reached Monday-Friday 8:00-4:30 ET. 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, William Vaughn can be reached at 571-272-3922. 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. /DANIEL T TEKLE/Primary Examiner, Art Unit 2481
Read full office action

Prosecution Timeline

Show 2 earlier events
Jan 21, 2026
Response Filed
Mar 18, 2026
Final Rejection mailed — §103
May 18, 2026
Response after Non-Final Action
May 18, 2026
Interview Requested
Jun 05, 2026
Examiner Interview Summary
Jun 17, 2026
Request for Continued Examination
Jun 22, 2026
Response after Non-Final Action
Oct 01, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12762372
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
3y 6m to grant Granted Oct 13, 2026
Patent 12762859
ELECTRONIC DEVICE AND VIDEO CLIP EXTRACTION METHOD THEREOF
2y 10m to grant Granted Oct 13, 2026
Patent 12761493
IMAGING APPARATUS
1y 4m to grant Granted Oct 13, 2026
Patent 12744859
VIDEO SPECIAL EFFECT PROCESSING METHOD AND APPARATUS, AND ELECTRONIC DEVICE
2y 3m to grant Granted Sep 22, 2026
Patent 12743218
METHOD AND SYSTEM FOR SYSTEM DATA STORAGE AND MANAGEMENT
2y 2m to grant Granted Sep 22, 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
63%
Grant Probability
57%
With Interview (-6.0%)
3y 6m (~1y 6m remaining)
Median Time to Grant
High
PTA Risk
Based on 767 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