EFFICIENT VIDEO INDEXING FOR FAST-MOTION VIDEO

Min-Ho Park and Rae-Hong Park Department of Electronic Engineering, School of Engineering, Sogang University 35 Baekbeom-ro (sinsu-dong), Mapo-gu, Seoul 121-742, Korea 

ABSTRACT 

Due to advances in recent multimedia technologies, various digital video contents become available from different multimedia sources. Efficient management, storage, coding, and indexing of video are required because video contains lots of visual information and requires a large amount of memory. This paper proposes an efficient video indexing method for video with rapid motion or fast illumination change, in which motion information and feature points of specific objects are used. For accurate shot boundary detection, we make use of two steps: block matching algorithm to obtain accurate motion information and modified displaced frame difference to compensate for the error in existing methods. We also propose an object matching algorithm based on the scale invariant feature transform, which uses feature points to group shots semantically. Computer simulation with five fast-motion video shows the effectiveness of the proposed video indexing method. 

KEYWORDS 

Scene Change Detection, Shot Boundary Detection, Key Frame, Block Matching Algorithm, Displaced Frame Difference, Scale Invariant Feature Transform, Video Indexing

More Details : http://airccse.org/journal/ijcga/papers/4214ijcga04.pdf