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In this paper we propose a new descriptor for birds search. First, our workwas carried on the choice of a descriptor. This choice is usually driven by theapplication requirements such as robustness to noise, stability with respect tobias, the invariance to geometrical transformations or tolerance to occlusions.In this context, we introduce a descriptor which combines the shape and colordescriptors to have an effectiveness description of birds. The proposeddescriptor is an adaptation of a descriptor based on the contours defined inarticle Belongie et al. [5] combined with color moments [19]. Specifically,points of interest are extracted from each image and information's in theregion in the vicinity of these points are represented by descriptors of shapecontext concatenated with color moments. Thus, the approach bag of visual wordsis applied to the latter. The experimental results show the effectiveness ofour descriptor for the bird search by content.

Content-Based Bird Retrieval using Shape context, Color moments and Bag of Features