2008
DOI: 10.1007/978-0-387-76569-3_14
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A Video Browsing enabled Personal Video Recorder

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Cited by 3 publications
(4 citation statements)
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“…In [14], highlights were extracted from baseball programs and in [2] an adaptive approach to sports video highlight detection was proposed and studied in detail for the case of soccer. The usefulness of such affective video indexing techniques is witnessed by the fact that Mitsubishi has already released two products taking advantage of the highlight detection for sport events in Japan [15]. Retrieval of movie clips using multimedia content features and user-assigned keywords was investigated by [3] and [16].…”
Section: The Contribution Of Corpus Developmentmentioning
confidence: 99%
“…In [14], highlights were extracted from baseball programs and in [2] an adaptive approach to sports video highlight detection was proposed and studied in detail for the case of soccer. The usefulness of such affective video indexing techniques is witnessed by the fact that Mitsubishi has already released two products taking advantage of the highlight detection for sport events in Japan [15]. Retrieval of movie clips using multimedia content features and user-assigned keywords was investigated by [3] and [16].…”
Section: The Contribution Of Corpus Developmentmentioning
confidence: 99%
“…For example, based on results in [28], Otsuka et al [26] developed a personal video recorder that detected highlights in sports videos via recognition of a small number of sound classes, specific to sport context, the most important being a mixture of the excited commentator's speech with audience cheering. This personal video recorder successfully worked in the Japanese market for several years.…”
Section: Related Workmentioning
confidence: 99%
“…Systems for detecting event highlights are often tailored to a particular context, too: for example, interesting moments of a sport programme in [26] are detected via recognition of a mixture of audience cheering with an excited commentator speech, being a specific to sports context sound class. On the other hand, systems that do not rely on recognition of pre-defined context-specific cues usually require computationally expensive re-training, as e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Divakaran and Otsuka [40] argued that "Current personal video recorders can store hundreds of hours of content and the future promises even greater storage capacity. Manual navigation through such large volumes of content would be tedious if not infeasible."…”
Section: Video Browsing Applications Using Video-player-like Interactionmentioning
confidence: 99%