Paper
1 January 2001 Image retrieval framework driven by association feedback with feature element evaluation built in
Author Affiliations +
Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410920
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
An original image retrieval framework is proposed and developed. Different from the popular systems of retrieval, we break features into feature elements - FEs which have meaningful visual sense instead of combining them to get semantic meanings. These feature elements are evaluated according to the subjective perception of human beings. As result, three classes of feature elements are obtained as important FEs, extend FEs and trivial FEs. Each class of feature elements is organized to form the FE Data Set. Then the retrieval process is turned into searching the feature elements in corresponding sets. Interactive function is also built in. With association feedback, the associated feature elements of both user interest and the given retrieval result are detected and analyzed. Thus, the system can grasp the user's target more accurately. Even if the user switches to other retrieval interest, the system can also trace it by the associated part of the feature elements. As the whole approach is based on the instinctive perception, fine effect is reached.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yin Xu and Yujin Zhang "Image retrieval framework driven by association feedback with feature element evaluation built in", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410920
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Cited by 9 scholarly publications.
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KEYWORDS
Iron

Feature extraction

Visualization

Current controlled voltage source

Image retrieval

Video

Databases

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