Abstract: A method and system for digital video content mapping includes receiving and parsing digital video content. Content tokens are defined for tagging content in the digital video content. A cognitive analysis is used to identify content tokens and tag content tokens in the digital video content. A relationship map is created between related tagged content tokens between instances of digital video content using a cognitive analysis. The relationship map indicates the strength of a relationship between the tagged plurality of content tokens and thereby the plurality of instances of digital video content.

Abstract: A method and system for digital video content mapping includes receiving and parsing digital video content. Content tokens are defined for tagging content in the digital video content. A cognitive analysis is used to identify content tokens and tag content tokens in the digital video content. A relationship map is created between related tagged content tokens between instances of digital video content using a cognitive analysis. The relationship map indicates the strength of a relationship between the tagged plurality of content tokens and thereby the plurality of instances of digital video content.

Abstract: Embodiments of the invention include methods and systems for content adjustment. Aspects of the invention include receiving, by a processor, a message from a user. A desired sentiment level for the message is received and a sentiment of the message is analyzed. The sentiment of the message is comparted to the desired sentiment level for the message to determine one or more suggested edits for the message.

Abstract: A method, system, and computer program product for compressing an image using similar images includes: receiving a first image; storing the first image on a storage server; comparing the first image to one or more stored intra-frames (I-Frames) to determine a similar I-Frame from the one or more stored I-Frames; in response to determining the similar I-Frame, determining that one or more stored predicted frames (P-Frames) reference the similar I-Frame; comparing the first image to the one or more stored P-Frames to determine a similar P-Frame; determining whether the first image meets a P-Frame threshold level for the similar P-Frame; in response to determining that the first image meets the P-Frame threshold level, generating a first P-Frame for the first image using data from the similar P-Frame and data from the similar I-Frame to compress storage space used by the first image on the storage server.

Abstract: A method and system for digital video content filtering is provided and includes receiving a request to filter instances of recorded digital video content, based on user preferences from a user profile. The instances are segmented based on a cognitive analysis using content tags in the instances. The computer accesses a relationship map and tags from the user profile. The relationship map describes how the segments from the instances of recorded digital video content are related to each other. The computer performs a cognitive analysis of the user profile data utilizing the accessed relationship map and tags. A relevance score is assigned to the instances of recorded digital video content, which indicates a strength of the relationship between the identified instances and the user viewing preferences and/or keywords. Relevant segments are identified based on the relevance score exceeding a predetermined threshold value. The relevant segments are stored on the computer.

Abstract: Embodiments of the invention include an apparatus, a computer-implemented method, and a computer program product for branding a quick response code onto a surface. Aspects of the invention include a branding device having a plurality of thermoelectric devices on a substrate. Each of the thermoelectric devices is arranged on the substrate as a single bit in a quick response pattern. Each of the thermoelectric devices includes an n-type thermoelectric element electrically coupled to a p-type thermoelectric element. The thermoelectric elements can be individually heated or cooled using the Peltier effect.

Abstract: A method and system for digital video content filtering is provided and includes receiving a request to filter instances of recorded digital video content, based on user preferences from a user profile. The instances are segmented based on a cognitive analysis using content tags in the instances. The computer accesses a relationship map and tags from the user profile. The relationship map describes how the segments from the instances of recorded digital video content are related to each other. The computer performs a cognitive analysis of the user profile data utilizing the accessed relationship map and tags. A relevance score is assigned to the instances of recorded digital video content, which indicates a strength of the relationship between the identified instances and the user viewing preferences and/or keywords. Relevant segments are identified based on the relevance score exceeding a predetermined threshold value. The relevant segments are stored on the computer.

Abstract: A method, system, and computer program product for compressing an image using similar images includes: receiving a first image; storing the first image on a storage server; comparing the first image to one or more stored intra-frames (I-Frames) to determine a similar I-Frame from the one or more stored I-Frames; in response to determining the similar I-Frame, determining that one or more stored predicted frames (P-Frames) reference the similar I-Frame; comparing the first image to the one or more stored P-Frames to determine a similar P-Frame; determining whether the first image meets a P-Frame threshold level for the similar P-Frame; in response to determining that the first image meets the P-Frame threshold level, generating a first P-Frame for the first image using data from the similar P-Frame and data from the similar I-Frame to compress storage space used by the first image on the storage server.

Abstract: Embodiments of the invention include an apparatus, a computer-implemented method, and a computer program product for branding a quick response code onto a surface. Aspects of the invention include a branding device having a plurality of thermoelectric devices on a substrate. Each of the thermoelectric devices is arranged on the substrate as a single bit in a quick response pattern. Each of the thermoelectric devices includes an n-type thermoelectric element electrically coupled to a p-type thermoelectric element. The thermoelectric elements can be individually heated or cooled using the Peltier effect.

Abstract: Embodiments of the invention include methods and systems for content adjustment. Aspects of the invention include receiving, by a processor, a message from a user. A desired sentiment level for the message is received and a sentiment of the message is analyzed. The sentiment of the message is comparted to the desired sentiment level for the message to determine one or more suggested edits for the message.

Abstract: A method and system for digital video content filtering is provided and includes receiving a request to filter instances of recorded digital video content, based on user preferences from a user profile. The instances are segmented based on a cognitive analysis using content tags in the instances. The computer accesses a relationship map and tags from the user profile. The relationship map describes how the segments from the instances of recorded digital video content are related to each other. The computer performs a cognitive analysis of the user profile data utilizing the accessed relationship map and tags. A relevance score is assigned to the instances of recorded digital video content, which indicates a strength of the relationship between the identified instances and the user viewing preferences and/or keywords. Relevant segments are identified based on the relevance score exceeding a predetermined threshold value. The relevant segments are stored on the computer.

Abstract: A method for a cognitive digital video recorder (CDVR), where the CDVR determines if it has a capacity is available to accommodate the digital video content and in response to determining that the capacity is not available to accommodate the request, the CDVR receives a user profile data. The CDVR accesses a relationship map and the at least one content tag, wherein the relationship map describes how a plurality of digital content is related to each other. The CDVR performs a cognitive analysis of the user profile data utilizing the accessed relationship map and the at least one content tag and ranks a plurality of digital video content based on the cognitive analysis results. The CDVR deletes an initial at least one of the plurality of digital video content to create the capacity to accommodate the digital video content and stores requested digital video content.

Abstract: A method and system for digital video content mapping includes receiving and parsing digital video content. Content tokens are defined for tagging content in the digital video content. A cognitive analysis is used to identify content tokens and tag content tokens in the digital video content. A relationship map is created between related tagged content tokens between instances of digital video content using a cognitive analysis. The relationship map indicates the strength of a relationship between the tagged plurality of content tokens and thereby the plurality of instances of digital video content.

Abstract: A method for a cognitive digital video recorder (CDVR), where the CDVR determines if it has a capacity is available to accommodate the digital video content and in response to determining that the capacity is not available to accommodate the request, the CDVR receives a user profile data. The CDVR accesses a relationship map and the at least one content tag, wherein the relationship map describes how a plurality of digital content is related to each other. The CDVR performs a cognitive analysis of the user profile data utilizing the accessed relationship map and the at least one content tag and ranks a plurality of digital video content based on the cognitive analysis results. The CDVR deletes an initial at least one of the plurality of digital video content to create the capacity to accommodate the digital video content and stores requested digital video content.

Abstract: A method and system for digital video content filtering is provided and includes receiving a request to filter instances of recorded digital video content, based on user preferences from a user profile. The instances are segmented based on a cognitive analysis using content tags in the instances. The computer accesses a relationship map and tags from the user profile. The relationship map describes how the segments from the instances of recorded digital video content are related to each other. The computer performs a cognitive analysis of the user profile data utilizing the accessed relationship map and tags. A relevance score is assigned to the instances of recorded digital video content, which indicates a strength of the relationship between the identified instances and the user viewing preferences and/or keywords. Relevant segments are identified based on the relevance score exceeding a predetermined threshold value. The relevant segments are stored on the computer.

Abstract: A method and system for digital video content mapping includes receiving and parsing digital video content. Content tokens are defined for tagging content in the digital video content. A cognitive analysis is used to identify content tokens and tag content tokens in the digital video content. A relationship map is created between related tagged content tokens between instances of digital video content using a cognitive analysis. The relationship map indicates the strength of a relationship between the tagged plurality of content tokens and thereby the plurality of instances of digital video content.

Abstract: A method, system, and computer program product for compressing an image using similar images includes: receiving a first image; storing the first image on a storage server; comparing the first image to one or more stored intra-frames (I-Frames) to determine a similar I-Frame from the one or more stored I-Frames; in response to determining the similar I-Frame, determining that one or more stored predicted frames (P-Frames) reference the similar I-Frame; comparing the first image to the one or more stored P-Frames to determine a similar P-Frame; determining whether the first image meets a P-Frame threshold level for the similar P-Frame; in response to determining that the first image meets the P-Frame threshold level, generating a first P-Frame for the first image using data from the similar P-Frame and data from the similar I-Frame to compress storage space used by the first image on the storage server.

Abstract: A method, system, and computer program product for compressing an image using similar images includes: receiving a first image; storing the first image on a storage server; comparing the first image to one or more stored intra-frames (I-Frames) to determine a similar I-Frame from the one or more stored I-Frames; in response to determining the similar I-Frame, determining that one or more stored predicted frames (P-Frames) reference the similar I-Frame; comparing the first image to the one or more stored P-Frames to determine a similar P-Frame; determining whether the first image meets a P-Frame threshold level for the similar P-Frame; in response to determining that the first image meets the P-Frame threshold level, generating a first P-Frame for the first image using data from the similar P-Frame and data from the similar I-Frame to compress storage space used by the first image on the storage server.

Abstract: A method, system, and computer program product for compressing an image using similar images includes: receiving a first image; storing the first image on a storage server; comparing the first image to one or more stored intra-frames (I-Frames) to determine a similar I-Frame from the one or more stored I-Frames; in response to determining the similar I-Frame, determining that one or more stored predicted frames (P-Frames) reference the similar I-Frame; comparing the first image to the one or more stored P-Frames to determine a similar P-Frame; determining whether the first image meets a P-Frame threshold level for the similar P-Frame; in response to determining that the first image meets the P-Frame threshold level, generating a first P-Frame for the first image using data from the similar P-Frame and data from the similar I-Frame to compress storage space used by the first image on the storage server.

Abstract: Embodiments of the present disclosure include a plug and receptacle. The receptacle may be configured to receive power and may include two or more sockets configured to electrically couple to two or more pins of the plug. A shorting contact included in the receptacle may be configured to contact two sockets of the two or more sockets. Further, shielding ribs included in the receptacle may be configured to block the shorting contact from contacting the two sockets.