Name
Abstract | ||
|---|---|---|
In this paper, we propose a method that utilizes the motion vectors (MVs) in MPEG sequence as the motion depicter for representing video contents. We convert the MVs to a uniform MV set, independent of the frame type and the direction of prediction, and then make use of them as motion depicter in each frame. To obtain such uniform MV set, we proposed a new motion analysis method using Bi-directional Prediction-Independent Framework (BPIF). Our approach enables a frame-type independent representation that normalizes temporal features including frame type, MB encoding and MVs. Our approach is directly processed on the MPEG bitstream after VLC decoding. Experimental results show that our method has the good performance, the high validity, and the low time consumption. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-24694-7_61 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
flow analysis | Pattern recognition,Computer science,Flow (psychology),Algorithm,Independent set,Artificial intelligence,Decoding methods,Motion estimation,Motion analysis,Bitstream,Encoding (memory) | Conference |
Volume | ISSN | Citations |
2972 | 0302-9743 | 2 |
PageRank | References | Authors |
0.47 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. W. Kim | 1 | 12 | 2.14 |
| T. Y. Kim | 2 | 20 | 2.92 |
| Jong-Soo Choi | 3 | 147 | 30.10 |