Automatic keyframe selection based on mutual reinforcement algorithm
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
This paper addresses the problem of video summarization through an automatic selection of a single representative keyframe. The proposed solution is based on the mutual reinforcement paradigm, where a keyframe is selected thanks to its highest and most frequent similarity to the rest of considered frames. Two variations of the algorithm are explored: a first one where only frames within the same video are used (intraclip mode) and a second one where the decision also depends on the previously selected keyframes of related videos (interclip mode). These two algorithms were evaluated by a set of professional documentalists from a broadcaster’s archive, and results concluded that the proposed techniques outperform the semi-manual solution adopted so far in the company.
CitationVentura, C. [et al.]. Automatic keyframe selection based on mutual reinforcement algorithm. A: International Workshop on Content-Based Multimedia Indexing. "Proceedings of the 11th International Workshop on Content-Based Multimedia Indexing". Veszprem: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 29-34.