# US 2026/0101094 A1 · Information processing method, information processing apparatus, and storage medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0101094 A1 - Document ID: US20260101094A1 - Status: Published application - Kind: A1 - Application number: 19/346,844 - Filed: 2025-10-01 - Published: 2026-04-09 - Earliest claimed: 2024-10-07 - Assignees: Canon Kabushiki Kaisha - Applicants: Canon Kabushiki Kaisha - Inventors: MASANORI FUKADA - Web page: https://patentgrep.com/patent/US20260101094A1 ## CPC - H04N 21/84: Generation or processing of descriptive data, e.g. content descriptors {(systems specially adapted for using meta-information in broadcast systems H04H60/73)} - H04N 21/8153: {comprising still images, e.g. texture, background image} - H04N 21/835: Generation of protective data, e.g. certificates {(protecting software against unauthorised usage in a vending or licensing environment G06F21/10)} - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract An information processing method. First media data output by a machine learning model is obtained. First description information describing the first media data is generated. Second description information describing information relating to the machine learning model used when outputting the first media data is generated. Association information indicating an association between the first media data, the first description information, and the second description information are generated. A media file storing the first media data, the first description information, the second description information, and the association information are generated. ## Claims ### Claim 1 An information processing method comprising: obtaining first media data output by a machine learning model; generating first description information describing the first media data; generating second description information describing information relating to the machine learning model used when outputting the first media data; generating association information indicating an association between the first media data, the first description information, and the second description information; and generating a media file storing the first media data, the first description information, the second description information, and the association information. ### Claim 2 (depends on 1) The information processing method according to claim 1, wherein the first media data includes a still image, video, audio data, text data, or metadata. ### Claim 3 (depends on 1) The information processing method according to claim 1, further comprising: obtaining input data input to the machine learning model when outputting the first media data, wherein the media file is generated to store the input data. ### Claim 4 (depends on 3) The information processing method according to claim 3, wherein the input data is obtained as second media data input to the machine learning model and metadata for identifying the second media data. ### Claim 5 (depends on 1) The information processing method according to claim 1, wherein the second description information includes data of a learning algorithm used when training the machine learning model and a training data set used when training the machine learning model. ### Claim 6 (depends on 5) The information processing method according to claim 5, further comprising: generating third description information indicating that the first media data is media data output by a machine learning model, wherein the media file is generated to further store the third description information. ### Claim 7 (depends on 1) The information processing method according to claim 1, further comprising: generating copyright information of the first media data, wherein the media file is generated to further store the copyright information. ### Claim 8 (depends on 7) The information processing method according to claim 7, wherein the copyright information includes information indicating that the first media data is copyrighted material, information indicating that copyrighted material is included in training data of the machine learning model, or information indicating that copyrighted material is included in input data input to the machine learning model when outputting the first media data. ### Claim 9 (depends on 1) The information processing method according to claim 1, wherein the machine learning model is a machine learning model that outputs a two-dimensional image as the first media data based on input data input to the machine learning model when outputting the first media data. ### Claim 10 (depends on 9) The information processing method according to claim 9, wherein the input data is fourth description information indicating virtual viewpoint space coordinates and a viewpoint direction. ### Claim 11 (depends on 1) The information processing method according to claim 1, wherein the media file is a media file compliant with an ISOBMFF standard. ### Claim 12 An information processing method, comprising: obtaining a media file storing first media data output by a machine learning model, first description information describing the first media data, second description information describing information relating to the machine learning model used when outputting the first media data, and association information indicating an association between the first media data, the first description information, and the second description information; and executing reproduction processing of the first media data based on the media file. ### Claim 13 An information processing apparatus comprising: a first obtaining unit configured to obtain first media data output by a machine learning model; a first generating unit configured to generate first description information describing the first media data; a second generating unit configured to generate second description information describing information relating to the machine learning model used when outputting the first media data; a third generating unit configured to generate association information indicating an association between the first media data, the first description information, and the second description information; and a fourth generating unit configured to generate a media file storing the first media data, the first description information, the second description information, and the association information. ### Claim 14 An information processing apparatus comprising: an obtaining unit configured to obtain a media file storing first media data output by a machine learning model, first description information describing the first media data, second description information describing information relating to the machine learning model used when outputting the first media data, and association information indicating an association between the first media data, the first description information, and the second description information; and an executing unit configured to execute reproduction processing of the first media data based on the media file. ### Claim 15 (depends on 1) A non-transitory computer-readable storage medium storing a program that, when executed by a computer, causes the computer to perform an information processing method according to claim 1. ### Claim 16 (depends on 12) A non-transitory computer-readable storage medium storing a program that, when executed by a computer, causes the computer to perform an information processing method according to claim 12.