This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Abstract In this article, we present a component-based visual tracker for mobile platforms with an application to person tracking. The core of the technique is a componentbased des...
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by explo...
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
This paper describes how the web-based visualization can be greatly improved using the function-based shape modeling technique. The improvement is possible because the proposed fu...