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

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書目名稱Image and Video Retrieval影響因子(影響力)




書目名稱Image and Video Retrieval影響因子(影響力)學科排名




書目名稱Image and Video Retrieval網(wǎng)絡(luò)公開度




書目名稱Image and Video Retrieval網(wǎng)絡(luò)公開度學科排名




書目名稱Image and Video Retrieval被引頻次




書目名稱Image and Video Retrieval被引頻次學科排名




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書目名稱Image and Video Retrieval年度引用學科排名




書目名稱Image and Video Retrieval讀者反饋




書目名稱Image and Video Retrieval讀者反饋學科排名

Interregnum

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.

HERTZ

行乞

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.

珠寶

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.

LEVY

斷斷續(xù)續(xù)

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.

Pessary

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.

眉毛

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.

欺騙手段

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.