Automatic keyframe selection based on mutual reinforcement algorithm
Tipo de documentoTexto en actas de congreso
Fecha de publicación2013
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso restringido por política de la editorial
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.
CitaciónVentura, 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.