We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Nowadays, more and more images are available. However, to find a required image for an
ordinary user is a challenging task. Large amount of researches on image retrieval have …

The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

Image hash functions find extensive applications in content authentication, database search,
and watermarking. This paper develops a novel algorithm for generating an image hash …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …

Content-based image retrieval (CBIR) has been more and more important in the last
decade, and the gap between high-level semantic concepts and low-level visual features …

In this work, we systematically study the problem of event recognition in unconstrained news
video sequences. We adopt the discriminative kernel-based method for which video clip …

Intelligent image retrieval is a challenging technology in multimedia applications where
bridging the gap between user׳ s expectation and low level features is typically hard for …

In this paper, we draw an analogy between image retrieval and text retrieval and propose a
visual phrase-based approach to retrieve images containing desired objects. The visual …

With the emergence of Web 2.0, sharing personal content, communicating ideas, and
interacting with other online users in Web 2.0 communities have become daily routines for …