Prosecution Insights
Last updated: July 17, 2026
Application No. 18/463,765

ENCAPSULATION AND DECAPSULATION METHODS AND APPARATUSES FOR POINT CLOUD MEDIA FILE, AND STORAGE MEDIUM

Non-Final OA §103
Filed
Sep 08, 2023
Priority
Sep 01, 2021 — CN 202111022386.2 +1 more
Examiner
WALSH, KATHLEEN M.
Art Unit
2482
Tech Center
2400 — Computer Networks
Assignee
Tencent Technology (Shenzhen) Company Limited
OA Round
1 (Non-Final)
80%
Grant Probability
Favorable
1-2
OA Rounds
0m
Est. Remaining
98%
With Interview

Examiner Intelligence

Grants 80% — above average
80%
Career Allowance Rate
343 granted / 428 resolved
+22.1% vs TC avg
Strong +18% interview lift
Without
With
+17.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 3m
Avg Prosecution
15 currently pending
Career history
439
Total Applications
across all art units

Statute-Specific Performance

§101
1.2%
-38.8% vs TC avg
§103
79.2%
+39.2% vs TC avg
§102
4.4%
-35.6% vs TC avg
§112
1.7%
-38.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 428 resolved cases

Office Action

§103
DETAILED ACTION This office action is in response to the application filed on 09/08/2023. Claims 1-20 are pending and are examined. 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 . Priority Receipt is acknowledged of certified copies of papers submitted under 35 U.S.C. 119(a)-(d), which papers have been placed of record in the file. Information Disclosure Statement The reference(s) listed on the Information Disclosure Statement(s) submitted on 03/28/2024 has/have been considered by the examiner (see attached PTO-1449). Claim Objections Claims 10 and 16 are objected to because of the following informalities: In Claim 10, line 2 recites, “second request information” without reciting first request information, since Claim 10 depends from Claim 8. For purposes of examination, the limitation will be reasonably interpreted as either - - request information - - or - - first request information - - . However, Applicant is invited to amend this limitation in any similar way so as to overcome this objection. Similarly, in Claim 16, line 2 recites, “second request information” without reciting first request information, since Claim 16 depends from Claim 11. For purposes of examination, the limitation will be reasonably interpreted as either - - request information - - or - - first request information - - . However, Applicant is invited to amend this limitation in any similar way so as to overcome this objection. Examiner respectfully requests from Applicant verification and requires appropriate correction regarding these matters. 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 (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 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 1-5, 8, 11-14, 18, and 20 are rejected under 35 U.S.C. 103 as being unpatentable over Park et al., US Patent Application Publication No.: 2021/0211721 A1, hereby Park, in view of Xu et al., US Patent Application Publication No.: CN 113114608 A (English Translation provided cited in PTO-892), hereby Xu. Park discloses the invention substantially as claimed. Regarding Claims 1 and 20, Park discloses an encapsulation method for a point cloud media file, applied to a file encapsulation device, and a non-transitory computer-readable storage medium, configured to store a computer program for causing a computer to perform an encapsulation method for a point cloud media file, executed by one or more processors, the encapsulation method and non-transitory computer-readable storage medium (Figs. 1-2, 4, 11, and 31, and [0577]) comprising: “acquiring a target point cloud and encoding the target point cloud to obtain a bitstream, the target point cloud comprising at least one type of attribute information, each type of attribution information comprising M attribute instances of instance data, and M being a positive integer . . . 1 (Figs. 1-2, 4, 11, and 31, and [0575], [0577], and [0583], disclosing attribute_instance_id[i]; see also [0078]-[0081], [0086], and [0090]-[0092]); and encapsulating the bitstream of the target point cloud according to first feature information of at least one attribute instance of . . . to obtain a media file, the media file comprising the first feature information of the at least one attribute instance (Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]).” However, although Park does not expressly disclose the multiple attribute instances, Xu does expressly disclose the following: “. . . , each type of attribution information comprising M attribute instances of instance data, and M being a positive integer greater than 1 (pages 11-12, Section Embodiment 2, disclosing when a compressed point cloud media file is packaged, a classification mark is added to each media segment, and the classification mark records the data type and version of information of the media segment; the classification mark generally comprises two mark bits, such as type_id and type_sequence_number; the type_id is used for defining a data type of a media segment; the type_sequence_number is used for defining the version of the media segment; the attribute information may have multiple versions, and therefore, one type_sequence_number may be set for each type_id, and the number of type_sequence_number is the number of versions; for example, when one point cloud person has three sets of clothes, the type_id value is 10, type_sequence_number may be 000, 001, 010, and MPU with the same type_sequence_number thus corresponds to the same set of clothes); and encapsulating the bitstream of the target point cloud according to first feature information of at least one attribute instance of M attribute instances to obtain a media file, the media file comprising the first feature information of the at least one attribute instance (pages 11-12, Section Embodiment 2, disclosing when a compressed point cloud media file is packaged, a classification mark is added to each media segment, and the classification mark records the data type and version of information of the media segment; the classification mark generally comprises two mark bits, such as type_id and type_sequence_number; the type_id is used for defining a data type of a media segment; the type_sequence_number is used for defining the version of the media segment; the attribute information may have multiple versions, and therefore, one type_sequence_number may be set for each type_id, and the number of type_sequence_number is the number of versions; for example, when one point cloud person has three sets of clothes, the type_id value is 10, type_sequence_number may be 000, 001, 010, and MPU with the same type_sequence_number thus corresponds to the same set of clothes).” Accordingly, before the effective filing date, it would have been obvious to one of ordinary skill in the art, having the teachings of Park and Xu (hereby Park-Xu), to modify the encapsulation method and non-transitory computer-readable storage medium of Park to use the claimed multiple attribute instances as in Xu. The motivation for doing so would have been to create the advantage of providing effective transmission of point cloud data in the heterogeneous network environment, so that different types of point cloud data can be efficiently synchronized and presented, and to meet the requirements of different media applications (see Xu, pages 4 and 11-12). Regarding Claim 11, Park-Xu discloses Claims 1 and 20, as outlined above, and further discloses the remaining features of a decapsulation method for a point cloud media file, applied to a file decapsulation device: “receiving first information transmitted by a file encapsulation device, the first information indicating first feature information of at least one attribute instance (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]) of M (Xu, pages 11-12) attribute instances in a target point cloud (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]), and M being a positive integer greater than 1 (Xu, pages 11-12, Section Embodiment 2, disclosing when a compressed point cloud media file is packaged, a classification mark is added to each media segment, and the classification mark records the data type and version of information of the media segment; the classification mark generally comprises two mark bits, such as type_id and type_sequence_number; the type_id is used for defining a data type of a media segment; the type_sequence_number is used for defining the version of the media segment; the attribute information may have multiple versions, and therefore, one type_sequence_number may be set for each type_id, and the number of type_sequence_number is the number of versions; for example, when one point cloud person has three sets of clothes, the type_id value is 10, type_sequence_number may be 000, 001, 010, and MPU with the same type_sequence_number thus corresponds to the same set of clothes); and determining a target attribute instance from the at least one attribute instance (Xu, pages 11-12, Section Embodiment 2, disclosing when a compressed point cloud media file is packaged, a classification mark is added to each media segment, and the classification mark records the data type and version of information of the media segment; the classification mark generally comprises two mark bits, such as type_id and type_sequence_number; the type_id is used for defining a data type of a media segment; the type_sequence_number is used for defining the version of the media segment; the attribute information may have multiple versions, and therefore, one type_sequence_number may be set for each type_id, and the number of type_sequence_number is the number of versions; for example, when one point cloud person has three sets of clothes, the type_id value is 10, type_sequence_number may be 000, 001, 010, and MPU with the same type_sequence_number thus corresponds to the same set of clothes) using the first feature information (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]), and acquiring instance data corresponding to the target attribute instance (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]).” The motivation that was utilized in Claims 1 and 20 above applies equally as well here. Regarding Claims 2 and 12, Park-Xu discloses: “wherein the first feature information of the attribute instance comprises: at least one of an identification of the attribute instance, a priority of the attribute instance, and a type of the attribute instance (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]).” The motivation that was utilized in Claims 1, 11, and 20 above applies equally as well here. Regarding Claims 3 and 13, Park-Xu discloses: “wherein the type (Xu, pages 11-12, Section Embodiment 2, disclosing type_id and type_sequence_number) of the attribute instance comprises at least one of an attribute instance (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]) associated with a recommendation viewport and an attribute instance associated with user feedback (Park, [0083]-[0084] and [0097]; see also Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]).” The motivation that was utilized in Claims 1, 11, and 20 above applies equally as well here. Regarding Claims 4 and 14, Park-Xu discloses: “wherein when the type (Xu, pages 11-12, Section Embodiment 2, disclosing type_id and type_sequence_number) of the attribute instance is the attribute instance associated with the recommendation viewport (Park, [0083]-[0084] and [0097]; see also Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]), the method further comprises: adding second feature information (Xu, pages 11-12, Section Embodiment 2, disclosing type_id and type_sequence_number) of the attribute instance to metadata of the recommendation viewport associated with the attribute instance (Park, [0086]; [0083]-[0084] and [0097]; see also Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]).” The motivation that was utilized in Claims 1, 11, and 20 above applies equally as well here. Regarding Claims 5 and 18, Park-Xu discloses: “wherein the second feature information (Xu, pages 11-12, Section Embodiment 2, disclosing type_id and type_sequence_number) of the attribute instance comprises at least one of an identification of the attribute instance and an attribute type of the attribute instance (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]).” The motivation that was utilized in Claims 1, 11, and 20 above applies equally as well here. Regarding Claim 8, Park-Xu discloses: “transmitting first information to a file decapsulation device, the first information indicating the first feature information of the at least one attribute instance (Park, Figs. 1-2, 4, 11, and 31, and [0078]-[0081], [0086], and [0090]-[0092]; [0575], [0577], and [0583], disclosing attribute_instance_id[i]) of the M attribute instances (Xu, pages 11-12, Section Embodiment 2, disclosing type_id and type_sequence_number).” The motivation that was utilized in Claims 1, 11, and 20 above applies equally as well here. Allowable Subject Matter Claims 6-7, 9-10,15-17, and 19 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. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure: Examiner notes that multiple references cited disclose point cloud compression and encapsulation/decapsulation. For example, the following references show similar features in the claims, although not relied upon: Oh (US 2022/0060529 A1), Figs. 1-4. Any inquiry concerning this communication or earlier communications from the examiner should be directed to KATHLEEN M WALSH whose telephone number is (571)270-0423. The examiner can normally be reached M-F 8:00 AM - 5:00 PM. 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, Chris Kelley can be reached at (571) 272-7331. 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. /KATHLEEN M WALSH/Primary Examiner, Art Unit 2482
Read full office action

Prosecution Timeline

Sep 08, 2023
Application Filed
Apr 16, 2026
Non-Final Rejection mailed — §103
May 31, 2026
Interview Requested
Jun 11, 2026
Applicant Interview (Telephonic)
Jun 11, 2026
Examiner Interview Summary

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12632007
PANORAMIC HOLOGRAPHIC IMAGERY WITH PHOTOREFRACTIVE AMPLIFICATION OF SUB PIXEL THREATS
3y 1m to grant Granted May 19, 2026
Patent 12620267
DISPLAY APPARATUS AND METHOD THEREOF FOR GUIDED BIOMETRIC INDEX MEASUREMENT
2y 4m to grant Granted May 05, 2026
Patent 12606102
Device Mounting System for Cab
2y 5m to grant Granted Apr 21, 2026
Patent 12593026
FEATURE ENCODING/DECODING METHOD AND DEVICE, RECORDING MEDIUM ON WHICH BITSTREAM IS STORED, AND METHOD FOR TRANSMITTING BITSTREAM
1y 9m to grant Granted Mar 31, 2026
Patent 12587650
CROSS-COMPONENT PLANAR PREDICTION IN IMAGE AND VIDEO COMPRESSION
1y 9m to grant Granted Mar 24, 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

1-2
Expected OA Rounds
80%
Grant Probability
98%
With Interview (+17.6%)
2y 3m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 428 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