Bo-Wen Wang

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Traditional image retrieval based on visual-based matching is not effective in multimedia applications. Consequently, the modeling of high-level human sense for image retrieval has been a challenging issue over the past few years. In fact, the concepts hidden in the images play key roles in semantic image retrieval. In this paper, we propose a novel method(More)
In this paper, we propose a novel web image annotation method, namely FMD (Fused annotation by Mixed model graph and Decision tree), which combines visual features and textual information to conceptualize the web images. The FMD approach consists of three main processes: 1) construct the visual-based model, namely Model<inf>MMG</inf>, 2) construct the(More)
Making a decision among a set of items from compound and complex information has been becoming a difficult task for common users. Collaborative filtering has been the mainstay of automatically personalized search employed in contemporary recommender systems. Until now, it is still a challenging issue to reduce the gap between user perception and multimedia(More)
Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. However there still exist some problems unsolved for traditional search engines, including: 1) the gap between user&#8217;s intention and searched results is not easy to narrow down under the global(More)
Cell therapy is a promising treatment for diseases that are caused by cell degeneration or death. The cells for clinical transplantation are usually obtained by culturing healthy allogeneic or exogenous tissue in vitro. However, for diseases of the eye, obtaining the adequate number of cells for clinical transplantation is difficult due to the small size of(More)
Video retrieval has been a hot topic due to the prevalence of video capturing devices and media-sharing services such as YouTube. Until now, few past studies has focused on querying the videos by images due to the semantic gap between images and videos is not easy to narrow. To this end, in this paper, we propose a novel semantic video retrieval system that(More)
The goal of traditional visual or textual-based image retrieval is to satisfy user&#8217;s queries by associating the images and semantic concepts effectively. As a result, perceptual structures of images have attracted researchers&#8217; attention in recent studies. However, few past studies have been made on achieving semantic image retrieval by using(More)
The explosive growth of information makes people confused in making a choice among a huge amount of products, like movies, books, etc. To help people clarify what they want easily, in this study, we present an intelligent recommendation approach named RSCF (recommendation by rough-set and collaborative filtering) that integrates collaborative information(More)
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