Current content-based video copy detection approaches mostly concentrate on the visual cues and neglect the audio information. In this paper, we attempt to tackle the video copy d...
Yang Liu, Wanlei Zhao, Chong-Wah Ngo, Changsheng X...
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that ...
Abstract. A new exemplar-based probabilistic approach for face recognition in video sequences is presented. The approach has two stages: First, Exemplars, which are selected repres...
This paper presents a novel audio-visual fusion method for speech detection, which is an important front-end for content-based video processing. This approach aims to extract homo...
Cong Li, Zhijian Ou, Wei Hu, Tao Wang, Yimin Zhang