Abstract
In an image, the faces of the persons are the first information looked for. Performing efficient face detection in a video with persons (excluding cartoons and nature videos) allows to classify shots, and to obtain automatically face summaries. Shot sampling greatly improves time processing. Scene layout (same number of person, similar face position and size) provides a criterion to establish a similarity measure between shots. Similar shots are gathered within shot clusters and all but one shot of a cluster are discarded from the summaries. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
Viallet, J. E., & Bernier, O. (2002). Face detection for video summaries. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2383, 348–355. https://doi.org/10.1007/3-540-45479-9_37
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