As the amount of recoded TV content is increasing rapidly, people need active and interactive browsing methods. In this paper, we use both text information from closed captions an...
Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
—In recent years, dome display has become popular, and it is desired to establish a method to create dome image contents easily. In this study, psychophysical experiment was cond...
Active contour (snake) approaches have been proved to be efficient tools to extract object boundary precisely. One drawback of these methods is that state-of-the-art snake algorit...