| Summary: | 碩士 === 國立中正大學 === 資訊管理所 === 95 === Nowadays image retrieval has become a very important research domain. However, with the significant technological advances of multimedia manufacturing, storage and dissemination, more and more people can access to a great deal of film, video, animation, and other moving image data more conveniently and rapidly. Therefore, what people are facing now is no longer the problem of the lack of multimedia content information, but how to find their required information from a mass of multimedia data. On the other hand, many market research data from many famous market research organizations tells that the moving images downloading market of the mobile phone will be enormous. If mobile services companies can provide users with more effective retrieval mechanism, the users will be more likely to use the download services provided by the mobile services companies and improving the company''s profits. Hence it is necessary to make a mechanism to allow users to effectively retrieve the moving images they want.
In this paper, we propose an enhancement color-semantic-based mechanism. The mechanism is mainly based on combining the concept of color semantics and TFIDF. And the moving images in our system comes form the real case company’s image gallery. In addition, in our system we allow users to use color semantics such as cute, cheerful and so on as the basis for retrieval. Retrieval results will be displaied descendedly according to the color semantics weights calculated by the concept of TFIDF. We used experimental method to evaluate the perceived usefulness and the user information satisfactionof our system. Experimental results show that the perceived usefulness and the user information satisfaction for users are satisfactory. And the experiment proved the validity of our mechanism.
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