2015/03/14 by Abdelkhalak Bahri, Abdelkhalak, Bahri, Hamid Zouaki +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR)
paper · pdf · doi:10.48550/arxiv.1503.07816
openalex publication_date 2015/03/14 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
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.