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CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 25 days ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
CIVR
2004
Springer
205views Image Analysis» more  CIVR 2004»
13 years 11 months ago
Finding Person X: Correlating Names with Visual Appearances
People as news subjects carry rich semantics in broadcast news video and therefore finding a named person in the video is a major challenge for video retrieval. This task can be ac...
Jun Yang 0003, Ming-yu Chen, Alexander G. Hauptman...
CIVR
2003
Springer
133views Image Analysis» more  CIVR 2003»
14 years 20 days ago
A Closer Look at Boosted Image Retrieval
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
Nicholas R. Howe
CIVR
2003
Springer
127views Image Analysis» more  CIVR 2003»
14 years 20 days ago
Detection of Documentary Scene Changes by Audio-Visual Fusion
The concept of a documentary scene was inferred from the audio-visual characteristics of certain documentary videos. It was observed that the amount of information from the visual ...
Atulya Velivelli, Chong-Wah Ngo, Thomas S. Huang
CIVR
2003
Springer
196views Image Analysis» more  CIVR 2003»
14 years 20 days ago
Audio-Based Event Detection for Sports Video
Abstract. In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is ...
Mark Baillie, Joemon M. Jose