Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval

Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval  Abstract: As an emerging technology to support scalable content-based image retrieval (CBIR), hashing has recently received great attention and became a very active research domain. In this study, we propose a novel unsupervised visual hashing approach called semantic-assisted visual hashing (SAVH). Distinguished from semi-supervised and […]


Retrieval Compensated Group Structured Sparsity for Image Super-Resolution

Retrieval Compensated Group Structured Sparsity for Image Super-Resolution  Abstract: Sparse representation-based image super-resolution is a well-studied topic; however, a general sparse framework that can utilize both internal and external dependencies remains unexplored. In this paper, we propose a group-structured sparse representation approach to make full use of both internal and external dependencies to facilitate image […]