For the first time in 2007, TRECVID considered structured evaluation of automated video summarization, utilizing BBC rushes video. In 2007, we conducted user evaluations with the ...
In this paper, we propose a novel Markov model-based formulation for the image annotation problem. In this formulation, we treat image annotation as a graph ranking problem, by de...
In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...
Medical CBIR (content-based image retrieval) applications pose unique challenges but at the same time offer many new opportunities. On one hand, while one can easily understand ne...
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
In this paper we address the influence of eye localization accuracy on face matching performance in the case of low resolution image and video content. By means of a broad experim...
Three-screen services provide the right solution for consumers to access rich multimedia resources by any device, anytime and anywhere. In this paper, we describe a prototype syst...
Zhu Liu, David C. Gibbon, Harris Drucker, Andrea B...
There is an explosion of community-generated multimedia content available online. In particular, Flickr constitutes a 200-million photo sharing system where users participate foll...
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...