02654nas|a2200265 i 450000500170000000800410001703500150005810000280007324500700010126000520017130000140022349000520023750200830028950001470037252014540051965000210197365000330199465000220202770000350204970000500208470000550213471000500218981000840223985600650232320260817161339.0030919s2002 th uzm rtt 00| a1eng d a.b118993471 aIgnacio, Domingo O. Jr.10aAbrupt scene change detection algorithm in MPEG-4 video sequences aBangkok :bAsian Institute of Technology,c2002 a52 leaves1 aResearch studies project report ;vno. TC-02-04 aResearch Studies Project Report (M.Eng.) - Asian Institute of Technology, 2002 aA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies aEffective video indexing method is a must when working with huge video databases. While manual indexing is considered as the most effective approach, it is not cost-effective and the speed is very slow. Thus, automatic indexing is desirable and recently various indexing tools for video databases have been developed. With the birth of MPEG-4 with object-based functionalities, the need to detect abrnpt scene changes is becoming a must. This research study introduces a new scene change detection method that would speedily and effectively detect abrupt scene transitions in MPEG-4 video sequences in the compressed domain utilizing features such as motion and texture information. Simulation results showed that the proposed MPEG-4 abrupt scene change detection method can detect abrupt transitions in the real-time scenario. Comparisons showed that 79.11 frames per second can be processed using the proposed method while for its uncompressed counterpart, only 0.588 frames can be processed in a second. Furthermore, using texture information to detect abrupt transitions resulted to effective scene transitions detection with a mean recall and precision values equal to 84.72% and 85.96%, respectively. On the other hand, using motion information to detect abrupt scene changes in MPEG-4 compressed domain resulted to a mean recall value of 86.57 percent and a precision value of 76.28 percent, an acceptable value for both recall and precision. 0aVideotex systems 0aMPEG (Video coding standard) 0aVideo compression1 aFernando, W.A.C.,eChairperson1 aAhmed, Kazi Mohiuddin,eExamination Committee0 aTeerapat Sanguankotchakorn,eExamination Committee2 aNokia Telecommunications, eScholarship Donor2 aAsian Institute of Technology.tResearch studies project report ;vno. TC-02-04 3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B07997