# US 10,455,237 B2 · Dynamic compression of multimedia content based on social and relational context > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,455,237 B2 - Document ID: US10455237B2 - Status: Granted - Kind: B2 - Application number: 14/887,431 - Filed: 2015-10-20 - Published: 2017-04-20 - Granted: 2019-10-22 - Earliest claimed: 2015-10-20 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Rahul Ghosh; Hugh E. Hockett; Aaron J. Quirk; Lin Sun - Web page: https://patentgrep.com/patent/US10455237B2 ## CPC - H04N 19/115: Selection of the code volume for a coding unit prior to coding - H04N 19/162: User input - H04N 19/136: Incoming video signal characteristics or properties - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract In one aspect, a computer-implemented method for compressing content based on a social factor, an environmental factor, and a relational factor is described. The method may include monitoring access to the content, forming, by a processor, a contextual evaluation based on the monitored access and determining an importance of the content based on the contextual evaluation. The method may further include storing the content in a compressed form, where the compressed form is selected based on the importance. ## Claims ### Claim 1 A computer-implemented method for compressing content comprising: monitoring access to the content, wherein the content is captured by a first user; forming, by a processor, a contextual evaluation based on the monitored access and determining a level of importance of the content based on the contextual evaluation; storing the content in a compressed form based on a selected compression level, wherein the compression level is selected based on the level of importance; wherein the contextual evaluation for determining the level of importance of the content comprises: a social media trend measuring popularity of the content on one or more social media websites; a location factor indicative of a online location of a first social media sharing of the content, wherein the online location is at least one of a private zone or a public zone; and an environmental factor, wherein the environmental factor comprises: a geographic location of the first user based on Global Positioning System (GPS) data at a time when the first user captured the content, wherein the content is a first content; a geographic location of a second user with respect to the first user based on GPS data at a time when the second user captured second content; and meteorological information associated with a meteorological event, wherein the compression level for compressing the first content is selected based, at least in part, on whether the meteorological event is recorded in both the first content captured by the first user at the geographic location of the first user and in the second content captured by the second user at the geographic location of the second user with respect to the first user. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the contextual evaluation further comprises evaluating a relationship with at least one individual in the content. ### Claim 3 (depends on 1) The computer-implemented method of claim 1, wherein the content is stored in a location that is determined based on the selected compression level of the compressed form. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, wherein the content is a video. ### Claim 5 (depends on 4) The computer-implemented method of claim 4, wherein forming the contextual evaluation comprises identifying an identity of a subject of the video via facial recognition. ### Claim 6 (depends on 1) The computer-implemented method of claim 1, wherein forming the contextual evaluation comprises determining if a subject matter of the content is likely to be accessed at least a predetermined number of times within a predetermined period of time. ### Claim 7 A system for compressing content comprising: a processor configured to: monitor access to the content, wherein the content is captured by a first user; form a contextual evaluation based on the monitored access and determine a level of importance of the content based on the contextual evaluation; and store the content in a compressed form based on a selected compression level, wherein the compression level is selected based on the level of importance; wherein the contextual evaluation for determining the level of importance of the content comprises: a social media trend measuring popularity of the content on one or more social media websites; a location factor indicative of a online location of a first social media sharing of the content, wherein the online location is at least one of a private zone or a public zone; and an environmental factor, wherein the environmental factor comprises: a geographic location of the first user based on Global Positioning System (GPS) data at a time when the first user captured the content, wherein the content is a first content; a geographic location of a second user with respect to the first user based on GPS data at a time when the second user captured second content; and meteorological information associated with a meteorological event, wherein the compression level for compressing the first content is selected based, at least in part, on whether the meteorological event is recorded in both the first content captured by the first user at the geographic location of the first user and in the second content captured by the second user at the geographic location of the second user with respect to the first user. ### Claim 8 (depends on 7) The system of claim 7, wherein the contextual evaluation further comprises the processor being configured to evaluate a relationship with at least one individual in the content. ### Claim 9 (depends on 7) The system of claim 7, wherein the processor is configured to store stored the content is stored in a location that is based on the selected compression level of the compressed form. ### Claim 10 (depends on 7) The system of claim 7, wherein the content is a video. ### Claim 11 (depends on 10) The system of claim 10, wherein forming the contextual evaluation comprises identifying an identity of a subject of the video via facial recognition. ### Claim 12 (depends on 7) The system of claim 7, wherein the processor is configured to determine if a subject matter of the content is likely to be accessed at least a predetermined number of times within a predetermined period of time, wherein the processor forms the contextual evaluation based on the determination. ### Claim 13 A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed, perform a method comprising: monitoring access to the content, wherein the content is captured by a first user; forming, by a processor, a contextual evaluation based on the monitored access and determining a level of importance of the content based on the contextual evaluation; and storing the content in a compressed form based on a selected compression level, wherein the compression level is selected based on the level of importance; wherein the contextual evaluation for determining the level of importance of the content comprises: a social media trend measuring popularity of the content on one or more social media websites; a location factor indicative of a online location of a first social media sharing of the content, wherein the online location is at least one of a private zone or a public zone; and an environmental factor, wherein the environmental factor comprises: a geographic location of the first user based on Global Positioning System (GPS) data at a time when the first user captured the content, wherein the content is a first content; a geographic location of a second user with respect to the first user based on GPS data at a time when the second user captured second content; and meteorological information associated with a meteorological event, wherein the compression level for compressing the first content is selected based, at least in part, on whether the meteorological event is recorded in both the first content captured by the first user at the geographic location of the first user and in the second content captured by the second user at the geographic location of the second user with respect to the first user. ### Claim 14 (depends on 13) The non-transitory computer-readable storage medium claim 13, wherein the contextual evaluation further comprises evaluating a relationship with at least one individual in the content. ### Claim 15 (depends on 13) The non-transitory computer-readable storage medium claim 13, wherein the content is stored in a location that is determined based on the selected compression level of the compressed form. ### Claim 16 (depends on 15) The non-transitory computer-readable storage medium of claim 15, wherein: the content has a first portion and a second portion, and a determined level of importance of the first portion differs from a determined level of importance of the second portion; the first and second portions include one or more of a content element, a content segment, and a content page; and the content is stored in a first compressed form at a first location different from a second compressed form at a second location.