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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Maven Video Repository: A Visually Classified and Tagged Video Repository
verfasst von : Prashast Sahay, Ijya Chugh, Ridhima Gupta, Rishi Kumar
Erschienen in: Data Engineering and Intelligent Computing
Verlag: Springer Singapore
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Abstract
WEB 2.0’s accelerated growth has paved a way for the emergence of social video sharing platforms. These video sharing communities produce videos at an exponential rate. Unfortunately, these videos are incongruously tagged, leading to minimal amount of metadata to retrieve them. Categorizing and indexing these videos has become a pressing problem for these communities. Videos generated by these communities depend on users to tag them, thus they end up being loosely tagged. An innovative and novel application has been presented to classify and tag these large volumes of user-generated videos. The above proposed content-based automatic tagging application tags the videos, which further help in indexing and classifying them. This application first recognizes the person in the video and then discerns their emotions and then creating a MPEG-7 xml file to store the metadata. This application will drastically reduce human effort and radically increase the efficiency of video searching.