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» Using High-Level Semantic Features in Video Retrieval
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ACSC
2007
IEEE
15 years 4 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
MM
2010
ACM
215views Multimedia» more  MM 2010»
14 years 10 months ago
Sirio, orione and pan: an integrated web system for ontology-based video search and annotation
In this technical demonstration we show an integrated web system for video search and annotation based on ontologies. The system is composed by three components: the Orione1 ontol...
Marco Bertini, Gianpaolo D'Amico, Andrea Ferracani...
SCVMA
2004
Springer
15 years 3 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 3 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
MMM
2009
Springer
112views Multimedia» more  MMM 2009»
15 years 6 months ago
General Highlight Detection in Sport Videos
Abstract. Attention is a psychological measurement of human reflection against stimulus. We propose a general framework of highlight detection by comparing attention intensity dur...
Reede Ren, Joemon M. Jose