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Video content analysis is a subset of computer vision and thereby of artificial intelligence. Two major academic benchmark initiatives are TRECVID , [ 23 ] which uses a small portion of i-LIDS video footage, and the PETS Benchmark Data. [ 24 ]
Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. [ 1 ]
It is claimed that both spatio-temporal interdependences are accounted for and redundancies are mitigated during the computation of video imprints. The option of computing video imprints exploiting the epitome model [ 3 ] has the advantage of more flexible input feature formats and more efficient training stage for video content analysis .
Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual data in combination with other data types.
Visual analysis tools integrated into online video platforms are designed to transform multiple viewing experiences into a graphic form, in order to understand the audience and optimizing video content performance. A graphical summary that helps to figure out how viewers are engaged with a specific video is called a Video Heatmap.
Editor’s note: Upasna Gautam is a senior product manager on the Platforms team at CNN, where she develops and builds the content management technology that delivers news to the world. I used to ...
Online content analysis or online textual analysis refers to a collection of research techniques used to describe and make inferences about online material through systematic coding and interpretation. Online content analysis is a form of content analysis for analysis of Internet-based communication.
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