| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 97 === Recently, researchers are getting more interest of how to improve the efficiency of processing home videos. One of the key techniques of content analysis is salient objects detection. Detecting the salient objects in videos is to find the location and occupied region of the salient object, or the region of interest (ROI) in videos. To reduce the computation loading for processing the whole frame, and avoiding extracting useless features, such as features from the background, we propose a new method to determine the region of interest (ROI) in videos; four salient features are extracted and computed for each salient feature map, Multi-Scale Contrast (MSC), Center-Surround Color Difference (CSCD), Color Spatial Distribution (CSD) and motion. Experimental results show that the proposed method has similar performance compared with prior works.
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