A Browsing and Retrieval System for Broadcast Videos using Scene Detection and Automatic Annotation
Abstract: This paper presents a novel video access and retrieval system for edited videos. The key element of the proposal is that videos are automatically decomposed into semantically coherent parts (called scenes) to provide a more manageable unit for browsing, tagging and searching. The system features an automatic annotation pipeline, with which videos are tagged by exploiting both the transcript and the video itself. Scenes can also be retrieved with textual queries; the best thumbnail for a query is selected according to both semantics and aesthetics criteria.
Citation:
Baraldi, Lorenzo; Grana, Costantino; Messina, Alberto; Cucchiara, Rita "A Browsing and Retrieval System for Broadcast Videos using Scene Detection and Automatic Annotation" Proceedings of the 2016 ACM on Multimedia Conference, Amsterdam, The Netherlands, pp. 733 -734 , 15 - 19 October 2016, 2016 DOI: 10.1145/2964284.2973825
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- DOI: 10.1145/2964284.2973825