C. Taskiran and E. J. Delp. Video scene change detection using the generalized sequence trace. In Proceedings of the IEEE International Confererence on Acoustics, Speech and Signal Processing, pages 2961--2964, Seattle, WA, May 1998. Home/Search Document Details and Download
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Temporal Video Segmentation: A Survey - Koprinska, Carrato (2001) (2 citations) (Correct)
....from gradual transition. As a partial solution, a median filter (of size 3) is applied to smooth the histogram differences when detecting gradual transitions. There are 7 parameters that need to be 26 specified. An interesting extension of the previous approach is proposed by Taskiran and Delp [37]. After the DC term image sequence and the luminance histogram for each image are obtained, a two dimensional feature vector is extracted from each pair of images. The first component is the dissimilarity measure based on the histogram intersection of the consecutive DC term images: # # # # ....
C. Taskiran, E. Delp, Video scene change detection using the generalized sequence trace, in: Proc. IEEE Int. Conf. Acoustics, Speech & Signal Processing, Seattle, 1998, pp. 2961-2964.
Hybrid Rule-Based/Neural Approach For Segmentation Of Mpeg.. - Koprinska, Carrato (Correct)
....of DC terms of P and B frames is presented. Cuts and gradual transitions are detected by color histogram comparison of DC term images of consecutive frames. Both static and adaptive thresholds are used. There are 7 parameters that need to be specified. An extension of the approach is proposed in [28] where a histogram based and a pixel 9 based feature are extracted from each pair of DC term images in order to combine the advantages of both techniques. Patel and Sethi use only the DC components of I frames to detect cuts and dissolves. Hence, the DC recovering is eliminated but the exact ....
C. Taskiran and E. Delp, "Video scene change detection using the generalized sequence trace," in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Seattle, USA, pp. 2961-2964, 1998.
Video Preprocessing for Audiovisual Indexing - Albiol, Torres, Delp Self-citation (Delp) (Correct)
....be grouped into compressed and pixel domain techniques. Recently compressed video domain techniques have gained much attention since usually video data is stored in compressed format and removing the decoding step and working with a much lower amount of data greatly reduces the computational load ([13]) In this work low resolution images obtained from the DC coefficients of the MPEG compressed video stream will be used to compute the MAFD measurement. Figure 2.a shows the MAFD signal for a typical news sequence. The narrow and high peaks in the Figure correspond to scene transitions. On the ....
C. Taskiran and E. J. Delp. Video scene change detection using the generalized sequence trace. In Proceedings of the IEEE International Confererence on Acoustics, Speech and Signal Processing, pages 2961--2964, Seattle, WA, May 1998.
The ViBE Video Database System: An Update and Further Studies - Taskiran, Bouman, Delp (2000) Self-citation (Taskiran Delp) (Correct)
No context found.
C. Taskiran and E. J. Delp, "Video scene change detection using the generalized trace," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 12-15 1998, Seattle, WA.
ViBE: A Video Indexing and Browsing Environment - Chen, Taskiran, Albiol.. (1997) (5 citations) Self-citation (Taskiran Delp) (Correct)
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Cuneyt Taskiran and Edward J. Delp, "Video scene change detection using the generalized trace," in Proceedings of IEEE Int'l Conference on Acoustic, Speech and Signal Processing, Seattle, WA, May 1998, pp. 2961--2964.
ViBE: A Compressed Video Database Structured for.. - Chen, Taskiran.. (2001) (5 citations) Self-citation (Taskiran Delp) (Correct)
....Second, there is no single threshold value which is appropriate for all video sequences. In ViBE, shot boundary detection is performed by first extracting a set of features from each DC frame. These features are placed in a high dimensional feature vector that we call the generalized trace (GT) [31]. The GT is then used in a binary regression tree to determine the probability that each frame is a shot boundary. These probabilities can then be used to detect frames corresponding to shot boundaries. In this paper, we will describe the detection of cut locations. However, we feel that the ....
Cuneyt Taskiran and Edward J. Delp, "Video scene change detection using the generalized trace," in Proceedings of IEEE Int'l Conference on Acoustic, Speech and Signal Processing, Seattle, WA, May 1998, pp. 2961--2964.
Non-Linear Approach to Shot Boundary Detection - Hua, Oh, Vu (2001) (Correct)
No context found.
C. Taskiran and E. J. Delp, "Video scene change detection using the generalized trace," in Proc. of IEEE International Conference on Acoustics, speech and Signal Processing (ICASSP), pp. 2961--2964, (Seattle, Washington), 1998.
A Content-based Scene Change Detection and Classification.. - Oh, Hua, Liang (2000) (4 citations) (Correct)
No context found.
C. Taskiran and E. J. Delp, "Video scene change detection using the generalized trace," in Proc. of IEEE International Conference on Acoustics, speech and Signal Processing (ICASSP), pp. 2961--2964, (Seattle, Washington), 1998.
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