Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions...
The increasing availability of object-based video content requires new technologies for automatically extracting and matching of the low level features of arbitrarily shaped video...
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Text retrieval from broadcast news video is unsatisfactory, because a transcript word frequently does not directly ‘describe’ the shot when it was spoken. Extending the retriev...