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Titlebook: Image and Video Retrieval; Third International Peter Enser,Yiannis Kompatsiaris,Arnold W. M. Smeu Conference proceedings 2004 Springer-Ver

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發(fā)表于 2025-3-21 18:03:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Image and Video Retrieval
副標(biāo)題Third International
編輯Peter Enser,Yiannis Kompatsiaris,Arnold W. M. Smeu
視頻videohttp://file.papertrans.cn/462/461513/461513.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Image and Video Retrieval; Third International  Peter Enser,Yiannis Kompatsiaris,Arnold W. M. Smeu Conference proceedings 2004 Springer-Ver
出版日期Conference proceedings 2004
關(guān)鍵詞MPEG-2; MPEG-7; Multimedia; Textur; computer vision; content-based image retrieval; feature-based retrieva
版次1
doihttps://doi.org/10.1007/b98923
isbn_softcover978-3-540-22539-3
isbn_ebook978-3-540-27814-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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發(fā)表于 2025-3-21 21:07:10 | 只看該作者
User Strategies in Video Retrieval: A Case Study process suggests that retrieval based on transcriptions of the speech in video data adds more to the average precision of the result than content-based retrieval. The latter is particularly useful in providing the user with an overview of the dataset and thus an indication of the success of a search.
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HMM Model Selection Issues for Soccer Videoaudio content. Audio is a rich source of information that can provide an effective alternative to high dimensional visual or motion based features. As a case study, we also illustrate how a superior HMM framework optimised using a Bayesian HMM selection strategy, can both segment and then classify Soccer video, yielding promising results.
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發(fā)表于 2025-3-22 10:16:08 | 只看該作者
Structuring Soccer Video Based on Audio Classification and Segmentation Using Hidden Markov Modelor classifying test data using the trained models. Meanwhile, considering that it is highly impossible to change the audio types too suddenly, we apply smoothing rules in final segmentation of an audio sequence. Experimental results indicate that our framework can produce satisfactory results.
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Models of Interaction with Video Informationic task environments. This in turn suggests that an important research agenda in VIR will be detailed task analyses, with concomitant specification of functionalities required to support people in accomplishment of their tasks.
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發(fā)表于 2025-3-23 00:50:53 | 只看該作者
Video Content Foragingterests, this cue carries a “scent” for that user. It is stated that people browse video material by following scent. The prototype is now sufficiently developed for subsequent research on this and other principles of information foraging theory.
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發(fā)表于 2025-3-23 02:53:39 | 只看該作者
Semantic Event Detection in Sports Through Motion Understanding structure occurring in the footage. Upon collision of the white ball with another coloured ball, a separate track is instantiated allowing for the detection of pots and fouls, providing additional clues to the event in progress.
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發(fā)表于 2025-3-23 05:45:05 | 只看該作者
What’s News, What’s Not? Associating News Videos with Wordsutdoors, an association matrix captures the correlation of these visual features to specific transcript words. This matrix is then refined using an EM approach. Preliminary results show that this approach has the potential to significantly improve retrieval performance from text queries.
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