New architecture for multi-format video browsing and cut detection

The need for video processing tools has emerged in recent years. The main problem of video analysis is that it is a notoriously weak-structured problem. Moreover, there are many media formats and standards nowadays. Thus, we introduce a new system to analyze and process different media file formats in an efficient and consistent manner. In addition to the different normal media browsing operations, the system implements three different video cut detection mechanisms. The new architecture of the system of multi-format media browsing and cut detection functionalities is depicted. A detailed algorithm is described along with its approach to achieve quick performance although it tries to solve common problems for video cut detection. These problems are the detection of false cuts and missing true cuts. Then, a comparative study is provided between the different mechanisms. This work is part of the Mobile Agents Alliance project among Ottawa university, National Research Council (NRC) and Mitel Corporation in Canada.