Based on the local keypoints extracted as salient image patches, an image can be described as a "bag-of-visualwords (BoW)" and this representation has appeared promising ...
Yu-Gang Jiang, Jun Yang 0003, Chong-Wah Ngo, Alexa...
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Automatic image annotation has attracted a lot of attention recently as a method for facilitating semantic indexing and text-based retrieval of visual content. In this paper, we pr...
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
This paper presents a framework for building rule-based image retrieval (RBIR) systems. Soft computing based multimedia data mining techniques are employed to extract and optimize...
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
In this technical demonstration we show the current version of the MediaMill system, a search engine that facilitates access to news video archives at a semantic level. The core o...
Marcel Worring, Cees G. M. Snoek, Bouke Huurnink, ...