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Human vision perceptual color based semantic image retrieval with relevance feedback
Author(s): Mario Humberto Mijes Cruz; Mireya Saraí García Vázquez; Alejandro Ramírez Acosta
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Paper Abstract

Bridging the semantic gap between the low level visual features extracted by computers such as color, texture or shape and high level semantic concepts perceived by humans is the main challenge in the aim of increasing the precision of semantic results into Content-Based Image Retrieval (CBIR). This challenge has been approached with the technique known as Relevance Feedback (RF). The technique of RF can be applied through two methods, biased subspace learning or query movement. The method of query movement is based on Rocchio algorithm. In this paper, we present a new optimization to technique of Relevance Feedback through query movement to develop a CBIR system with better semantic precision. We make a modification to the input images color channels composition in the additive color space (Red, Green, Blue) and perceptual additive color space (Hue, Saturation, Value), through the images representation with human photopic vision behavior, which provides the semantic perception of the colors. With the proposed representation we obtained a more accurate behavior of the Color Histogram (CH), Color Coherence Vector (CCV) and Local Binary Patterns (LBP) descriptors in Rocchio algorithm, thus, a query movement oriented more to the semantics of the user. The optimization performance was measured with a subset of 137 classes with 100 images each one from Caltech256 object database. The results show a significant improvement in the semantic precision in comparison to the P. Mane RF method with prominent features, as well as the performance of CBIR systems without RF using the mentioned descriptors.

Paper Details

Date Published: 7 September 2018
PDF: 9 pages
Proc. SPIE 10751, Optics and Photonics for Information Processing XII, 107510Q (7 September 2018); doi: 10.1117/12.2320180
Show Author Affiliations
Mario Humberto Mijes Cruz, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Mireya Saraí García Vázquez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Alejandro Ramírez Acosta, MIRAL R&D&I (United States)


Published in SPIE Proceedings Vol. 10751:
Optics and Photonics for Information Processing XII
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mireya García Vázquez, Editor(s)

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