Robotics & Machine Learning Daily News2024,Issue(Oct.25) :129-132.

Patent Application Titled 'Systems and Methods for Extracting Temporal Informati on from Animated Media Content Items Using Machine Learning' Published Online (U SPTO 20240338925)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :129-132.

Patent Application Titled 'Systems and Methods for Extracting Temporal Informati on from Animated Media Content Items Using Machine Learning' Published Online (U SPTO 20240338925)

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Abstract

Reporters obtained the following quote from the background information supplied by the inventors: “Conventional approaches for communicating between users of mo bile devices may simply rely on SMS, messaging through a social networking appli cation, or “texting.” Internet or mobile device users may exchange messages thro ugh these various mediums. However, occasionally, users may wish to communicate via media content, such as GIFs (Graphics Interchange Format), or image files th at include a static or animated set of images. Users may search the Internet for GIFs, copy them through an operating system’s native web browser, and paste the GIFs in various messaging applications. These conventional systems are not well -suited to providing categorized content within a dynamic interface without expe nding resources or requiring manual intervention. Further such conventional syst ems fail to extract useful temporal information about animated media content ite ms that is conveyed to viewers of the media content items.”

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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