2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE. 2005
DOI: 10.1109/icce.2005.1429798
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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 12 publications
(8 citation statements)
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“…All extracted R-images of a story unit were resized and organized into a single regular-sized image following a predefined visual layout called the poster. In [20], Otsuka et al proposed an automatic sports highlights detection system using only audio features and Gaussian mixture models. Also, in [21], the authors proposed a probabilistic framework to detect sport events using webcast texts.…”
Section: Related Workmentioning
confidence: 99%
“…All extracted R-images of a story unit were resized and organized into a single regular-sized image following a predefined visual layout called the poster. In [20], Otsuka et al proposed an automatic sports highlights detection system using only audio features and Gaussian mixture models. Also, in [21], the authors proposed a probabilistic framework to detect sport events using webcast texts.…”
Section: Related Workmentioning
confidence: 99%
“…However, it is challenging to realize them for the currently used eagle eye playback and video assistance system, which can only detect the trajectory of the balls by the high-cost hardware system and complex data processing methods [7]. Moreover, these monitoring systems rely on time delay to calculate the data, which makes the detection difficult to be real-time and high-frequently available [8]. A more effective monitoring system is desirable for the contact between rackets and balls.…”
Section: Introductionmentioning
confidence: 99%
“…Much research has been done on the topic of automatic detection of highlights in soccer and other sports. However, only a few of these approaches (for example, the system described in [1]) have actually been implemented in consumer applications for entertainment purposes. The challenge in this topic is that it is difficult to make sure that users are given all highlights that they expect, even if the performance of the automatic highlight detector is close to 100%.…”
Section: Introductionmentioning
confidence: 99%