Organizing digital images into semantic categories is imperative for effective browsing and retrieval. In large image collections, an efficient algorithm is crucial to quickly cat...
Taufik Abidin, Aijuan Dong, Honglin Li, William Pe...
In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the...
Thi-Lan Le, Monique Thonnat, Alain Boucher, Fran&c...
We describe and demonstrate CBGIR, a web-based system for performing content-based image retrieval in large sets of high-resolution overhead images. The system provides a familiar...
Shawn Newsam, Daniel Leung, Oscar Caballero, Justi...
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
Query by key frame or video example is a convenient and often effective way to search in video database. This paper proposes a new approach to support such searches. The main cont...
Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, HongJ...