Classified Statistical Browsing For YouTube Videos

• Main Authors: Chi-Chu Lai, 賴麒竹
• Other Authors: Sun Wu
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/43455706104363245822

碩士 === 國立中正大學 === 資訊工程研究所 === 100 === As the available bandwidth for each user increases and the popularization of video-making tools, users not only browse videos online but also share videos online. With the amount of online videos increasing, searching for wanted videos become more difficult. Sometimes, the user may not have specific keywords to search for. In such circumstances, providing a convenient classified browsing with statistical information becomes an important issue. In this thesis, we use the concept of classified term database to design a mechanism for automatic classification of videos. The purpose of the hierarchical category system is to make the user more convenient in browsing and watching videos of user's interest. In addition, we provide statistical data for each category, so the users can get the information of popular terms in the category.