Representation of the video content using a set of key frames is one of the most common techniques for video summarization. Summaries composed of key frames allow users to grasp the overall content of a video, and access specific sequences. The post-processing algorithm presented in this paper makes it possible to create visual video summaries that are exhaustive, but not redundant. In three steps the method removes meaningless key frames, groups the key frames into clusters to allow multi-level summary presentation, and determines the default summary level. The algorithm utilizes both supervised and unsupervised classification strategies to perform these tasks. It requires no previous knowledge about the video contents, nor is any assumption made about the input data. © 2006 IEEE.
Ciocca, G., Schettini, R. (2006). Supervised And Unsupervised Classification Post-Processing for Visual Video Summaries. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 52(2), 630-638 [10.1109/TCE.2006.1649689].
Supervised And Unsupervised Classification Post-Processing for Visual Video Summaries
CIOCCA, GIANLUIGI;SCHETTINI, RAIMONDO
2006
Abstract
Representation of the video content using a set of key frames is one of the most common techniques for video summarization. Summaries composed of key frames allow users to grasp the overall content of a video, and access specific sequences. The post-processing algorithm presented in this paper makes it possible to create visual video summaries that are exhaustive, but not redundant. In three steps the method removes meaningless key frames, groups the key frames into clusters to allow multi-level summary presentation, and determines the default summary level. The algorithm utilizes both supervised and unsupervised classification strategies to perform these tasks. It requires no previous knowledge about the video contents, nor is any assumption made about the input data. © 2006 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.