Characterizing the high-level content of natural images using lexical basis functions

@inproceedings{Black2003CharacterizingTH,
  title={Characterizing the high-level content of natural images using lexical basis functions},
  author={John A. Black and Kanav Kahol and Prem Kuchi and Gamal Fahmy and Sethuraman Panchanathan},
  booktitle={Human Vision and Electronic Imaging},
  year={2003}
}
The performance of content-based image retrieval using low-level visual content has largely been judged to be unsatisfactory. Perceived performance could probably be improved if retrieval were based on higher-level content. However, researchers have not been very successful in bridging what is now called the "semantic gap" between low-level content detectors and higher-level visual content. This paper describes a novel "top-down" approach to bridging this semantic gap. A list of primitive words… CONTINUE READING
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