The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Abstract At last year’s OHS workshop, I have introduced a semiotic approach to hypermedia on a broader basis [11]. This year’s contribution shall be dedicated to (still theoret...
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...