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We focus on painting retrieval problem, and our motivation is to find out similar paintings and assist painting plagiarism identification. Similar painting retrieval is much more challenging than natural image retrieval, since different paintings have different styles and the similarity of paintings is difficult to measure. In this paper, we define the similarity of paintings from the perspectives...
It can be foreseen that the volume of ontology's Abox in Semantic Web of Things is always too large to understand or reason about ontology by machines and users. To solve this problem, a SWoT ontology summarization method based on equivalence relation is proposed, and a system based on this method is designed and implemented. Some experimental result analyses show that this method not only can reserve...
Poor retrieval performance significantly degenerates users' experience of visual search, especially in mobile search. Ideally, users would like to be alerted when bad queries are present, which helps eliminate latency as well as waste of bandwidth, especially in 3G wireless environment. In this paper, we propose a visual query performance prediction (v-QPP) approach to predict the retrieval effectiveness...
Online media services and electronic commerce are booming recently. Previous studies have been devoted to contextual advertising, but few work deals with interactive web advertising. In this paper, we propose to put users in the loop of collecting contextual ad information with an interaction process, establishing semantic ad links across media platforms. Given an ad video, the key frames with explicit...
A commercial system that performs syntactic and semantic analysis during a TV advertising break could facilitate innovative new applications, such as an intelligent set-top box that enhances the ability of viewers to monitor and manage commercials from TV streams.
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