Video retrieval by feature learning in key frames

Pickering, Marcus J.; Rüger, Stefan and Sinclair, David (2002). Video retrieval by feature learning in key frames. In: Image and Video Retrieval, pp. 309–317.

DOI: https://doi.org/10.1007/3-540-45479-9_33

Abstract

We evaluate the application of feature-vector based image retrieval methods to the problem of video retrieval. A vast number of primitive features is calculated for each of the key frames generated by a segmentation process, and we examine the use of three methods for retrieving video segments using the features — a vector space model, a learning method using the AdaBoost algorithm, and a k-nearest neighbour approach.

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• Item ORO ID
• 11996
• Item Type
• Conference or Workshop Item
• ISSN
• 0302-9743
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
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• Users 8580 not found.