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» Retrieving lightly annotated images using image similarities
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MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 2 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
INFORMATICALT
2007
136views more  INFORMATICALT 2007»
13 years 8 months ago
Generic Multimedia Database Architecture Based upon Semantic Libraries
Semantic-based storage and retrieval of multimedia data requires accurate annotation of the data. Annotation can be done either manually or automatically. The retrieval performance...
Omara Abdul Hamid, Muhammad Abdul Qadir, Nadeem If...
MMDB
2003
ACM
132views Multimedia» more  MMDB 2003»
14 years 1 months ago
Image database retrieval utilizing affinity relationships
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
ICIP
1999
IEEE
14 years 9 months ago
A Framework for Measuring Video Similarity and Its Application to Video Query by Example
The usefulness of a video database relies on whether the video of interest can be easily located. To allow exploring, browsing, and retrieving videos according to their visual con...
Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadg...
MM
1996
ACM
538views Multimedia» more  MM 1996»
14 years 8 days ago
Comparing Images Using Color Coherence Vectors
Color histograms are used to compare images in many applications. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, color histogram...
Greg Pass, Ramin Zabih, Justin Miller