Summary: | 碩士 === 國立政治大學 === 資訊科學學系 === 93 === In this thesis, we present the design and implementation of an intelligent personal digital photo browsing platform. The proposed system relies on multiple evidences inferred from image content as well as user behavior. Specifically, external EXIF data and face detection results are utilized to coarsely classify the digital images. Measures of image quality, including clarity and contrast, are calculated to further refine the search result. Moreover, we use web cameras to record and analyze the viewing behavior of the user and attempt to correlate the interest of the viewer to the effective viewing time. Finally, a multi-modal system is put in place to integrate the clues acquired from different modules.
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