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