2005
DOI: 10.1109/tce.2005.1405707
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A highlight scene detection and video summarization system using audio feature for a personal video recorder

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Cited by 54 publications
(20 citation statements)
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“…In short, the users really enjoyed using the system but would like the highlights extraction to be more accurate, the movement through the content to be smoother and more information about the game to be displayed. These results validate our hypothesis in our previous paper [3] that a good interface combined with fair highlights detection accuracy would do better than would a combination of a fair interface with high detection accuracy.…”
Section: Discussionsupporting
confidence: 90%
See 1 more Smart Citation
“…In short, the users really enjoyed using the system but would like the highlights extraction to be more accurate, the movement through the content to be smoother and more information about the game to be displayed. These results validate our hypothesis in our previous paper [3] that a good interface combined with fair highlights detection accuracy would do better than would a combination of a fair interface with high detection accuracy.…”
Section: Discussionsupporting
confidence: 90%
“…In our past work [3], we developed a sports highlights extraction scheme based on detection of a mixture of excited speech and cheering. We compute the percentage of the aforementioned mixture in a window centered at the time of interest and assign it as the "interest value."…”
Section: Proposed Interfacementioning
confidence: 99%
“…A previous paper [1] presented our highlight detection and video summarization system as implemented in a consumer product, a personal video recorder (PVR). This paper presents our prototype implementation of the same feature, targeted to a different consumer product: a high-definition television (HDTV) equipped with an internal digital personal video recorder.…”
Section: Introductionmentioning
confidence: 99%
“…Figure 2 illustrates the highlight playback process. The process is explained in more detail in [1].…”
Section: Introductionmentioning
confidence: 99%
“…Some approaches have been performed in STBs or PVRs after recording entire broadcasts [7][8][9], but they cannot provide their results on the fly. N. Dimitrova et al [10] studied video analysis algorithms and the architecture for abstracted video representation in consumer domain applications and developed a tool for commercial skipping by detecting black frames and changes in activity [11].…”
Section: Introductionmentioning
confidence: 99%