We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...
In patch-based object recognition, using a compact visual codebook can boost computational efficiency and reduce memory cost. Nevertheless, compared with a large-sized codebook, it...
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
This paper proposes the variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (Fine Granularity Scalable) video coding. First,...
Quantization index modulation (QIM) techniques have been gaining popularity in the data hiding community because of their robustness and information-theoretic optimality against a...