Selective Extraction of Visual Saliency Objects in Images and Videos

Authors:
Zhi-Cheng Zhao;An-Ni Cai
Affiliations:
-;-
Venue:
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
Year:
2007

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Abstract

An algorithm for selective extraction of visual saliency objects from color images and videos is presented. Color quantization based on vector quantization (VQ) is firstly performed; And then, quantized image is segmented according to its color and spatial distribution; thirdly, based on visual attention model, focuses of attention (FOAs) of objects are selected; finally, in term of shifts of FOAs and the Gestalt principle, saliency objects are extracted by merging color, texture, boundary and homogeneity features. Experimental results on the Corel image database and the TREC videos demonstrate the effectiveness of the proposed approach after the subjective evaluation.