Rushes footage are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However, it is difficult to mine the "gold" from ...
Abstract. Recent research in video retrieval has focused on automated, highlevel feature indexing on shots or frames. One important application of such indexing is to support preci...
Shi-Yong Neo, Jin Zhao, Min-Yen Kan, Tat-Seng Chua
In this paper we propose a representation framework for dynamic multi-sensory knowledge and user context, and its application in media retrieval. We provide a definition of context...
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Abstract. This paper investigates the applicability of Informedia shot-based interface features for video retrieval in the hands of novice users, noted in past work as being too re...
This paper deals with the problem of estimating the effort required to maintain a static pose by human beings. The problem is important in developing effective pose classification ...
In this paper, we investigate human visual perception and establish a body of ground truth data elicited from human visual studies. We aim to build on the formative work of Ren, E...
Victoria J. Hodge, Garry Hollier, John P. Eakins, ...
Abstract. This paper presents novel dissimilarity space specially designed for interactive multimedia retrieval. By providing queries made of positive and negative examples, the go...