Video search engine with the help of external viewpoint

• Main Authors: Chiu, Hao-Jung, 邱浩榕
• Other Authors: Wu, Fan
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/84216182448936472890

碩士 === 國立中正大學 === 資訊管理學系暨研究所 === 100 === Due to the improvement of network bandwidth and storage devices, sharing videos with others on the Internet becomes popular. Since the number of videos increase rapidly, users find the required videos become hard. Although there video search engines providing the ranking mechanisms, these mechanisms is too simple that usually rank the low-quality or even spam videos on the top region of a ranking that cost users’ much time to browse. Since there are many people embedding the videos on their space, the external information of the actions between videos and users on the Internet can help rank videos. We investigate and find that there is no video search engine taking the external viewpoint into consideration on the Internet. Thus, we propose a search engine with the help of external viewpoint to find the required videos for users rapidly.