Efficient Algorithms for Motion Based Video Retireval
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Robust video sequence retrieval using a novel object-based T2D-histogram descriptor
Journal of Visual Communication and Image Representation
Robust video retrieval using temporal MVMB moments
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Robust video similarity retrieval using temporal MIMB moments
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
| Hi-index | 0.00 |
Many content-based video data indexing and retrieval systems have utilized the syntactic contents of the video sequences such as color, texture, and shape. And only a few researches have addressed indexing and retrieving video data by motion.In this paper, we present a method to automatically compute motion-based indexes for video units and to retrieve video units using motion information. Since videos are full of motion and the field of motion is the whole frame, we propose a method to divide this field of motion into several subfields and extract the motion features of every subfield. As a result, location information will be added to the motion vectors. Three keyframes will be extracted as representative frames for the corresponding shot, first, last, and middle frame. Then, the system extracts the MPEG coded motion vectors information of the macroblocks of the representative frames and use this information to compute the motion indexes of the corresponding shots. This method is faster than other methods since motion vectors have already been computed by the MPEG software. Motions that result from camera movement and objects movements are distinguished. As a result, users will be able to issue queries based on either type of motion.