Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
One of the main challenges in interactive concept-based video search is the insufficient relevant sample problem, especially for queries with complex semantics. To address this pr...
Jin Yuan, Zheng-Jun Zha, Zhengdong Zhao, Xiangdong...
This paper presents recent work on a multimedia retrieval project at Cambridge University and Olivetti Research Limited ORL. We present novel techniques that allow extremely rapid...
M. G. Brown, J. T. Foote, Gareth J. F. Jones, Kare...