Increasing use of multimedia data makes it crucial t o use intelligent search mechanisms for retrieving multimedia data by content. Digital video requires the incorporation of tem...
Serhan Dagtas, Wasfi Al-Khatib, Arif Ghafoor, Ashf...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
This paper focuses on the representation and access of Web-based information, and how to make such a representation adapt to the activities or interests of individuals within a co...
Matthew Chalmers, Kerry Rodden, Dominique Brodbeck
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
We address the problem of localizing and obtaining high-resolution footage of the people present in a scene. We propose a biologically-inspired solution combining pre-attentive, lo...
James H. Elder, Simon J. D. Prince, Yuqian Hou, Mi...