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» Estimating Missing Features to Improve Multimedia Retrieval
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ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
15 years 5 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
PCM
2009
Springer
114views Multimedia» more  PCM 2009»
15 years 4 months ago
Improving a Digital Rights Management Scheme for Video Broadcast
The security of content distribution is a critical issue that all the content providers have to treat seriously in order to guarantee their business. Emmanuel and Kankanhalli propo...
Yongdong Wu, Feng Bao
MM
2010
ACM
162views Multimedia» more  MM 2010»
14 years 12 months ago
Interactive visual object search through mutual information maximization
Searching for small objects (e.g., logos) in images is a critical yet challenging problem. It becomes more difficult when target objects differ significantly from the query object...
Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya N...
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 5 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
ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
15 years 5 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian