One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
With Internet delivery of video content surging to an unprecedented level, video recommendation has become a very popular online service. The capability of recommending relevant v...
Bo Yang, Tao Mei, Xian-Sheng Hua, Linjun Yang, Shi...
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
This paper presents an overview of our recent work on managing image and video data. The first half of the paper describes a representation for the semantic spatial layout of vide...
Shawn D. Newsam, Jelena Tesic, Lei Wang, B. S. Man...