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» Content-Based Image Retrieval at the End of the Early Years
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MLDM
2001
Springer
13 years 10 months ago
Adaptive Query Shifting for Content-Based Image Retrieval
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
IFIP
2005
Springer
13 years 11 months ago
Content-Based Image Retrieval for Digital Forensics
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...
SPIESR
1998
195views Database» more  SPIESR 1998»
13 years 6 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 5 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
OHS
2001
Springer
13 years 10 months ago
Because I Seek an Image, Not a Book
Abstract At last year’s OHS workshop, I have introduced a semiotic approach to hypermedia on a broader basis [11]. This year’s contribution shall be dedicated to (still theoret...
Moritz Neumüller