Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
In order to become an effective complement to traditional Web-scale text-based image retrieval solutions, content-based image retrieval must address scalability and efficiency iss...
We propose a novel iterative searching and refining prototype for tagged images. This prototype, named PivotBrowser, captures semantically similar tag sets in a structure called p...
Xiaoyan Li, Lidan Shou, Gang Chen, Xiaolong Zhang,...
Abstract. Search engines often employ techniques for determining syntactic similarity of Web pages. Such a tool allows them to avoid returning multiple copies of essentially the sa...
Content based retrieval of similar multimedia objects (e.g. images, text, and videos) is an important research issue in the field of multimedia database. In this demo, we present ...