8 citations found. Retrieving documents...
V. Kobla, and D. Doermann, "Indexing and Retrieval of MPEG-compressed Video", Journal of Electronic Imaging, pp. 294-307, 1998.

 Home/Search   Document Details and Download   Summary   Related Articles   Check  

This paper is cited in the following contexts:
A New MERIT Version for MPEG-2 Encoded Files - Pagani   (Correct)

....DCT information. When MERIT is run without any options and with just the MPEG filename, it prints to stdout the list of key frame numbers, which are the first frames of the segmented shots. These key frames can be used in further applications, such as archiving or indexing of video sequences [3, 4]. Options available with MERIT will be described in Section 2.2. MPEG is a digital compression standard for both video and audio, developed by the ISO MPEG committee. ISO is developing a family of MPEG standards. The group produced MPEG 1, the standard for Video CD and MP3; MPEG 2, the standard ....

V. Kobla and D. S. Doermann, "Indexing and retrieval of MPEG compressed video", Journal of Electronic Imaging, Vol. 7, pp. 294--307, 1998.


Key Video Object Plane Selection In The Mpeg-4 Compressed Domain - Berna Erol And (2000)   (Correct)

....pixel differences, and performing edge tracking [1] Other algorithms involve operations in the compressed domain (e.g. MPEG 2 [2] and take into account the texture coding modes (intra, inter, etc. and the significant changes in DC coefficients to detect shot boundaries and to select key frames [3][4] While key frames provide a summary of the video content, they cannot provide an accurate description of the individual objects within a video scene. Access to individual objects in a video sequence is essential for content based video indexing and retrieval systems that support object based ....

Kobla, V., and Doermann, D., "Indexing and retrieval of MPEG compressed video", Journal of Electronic Imaging, vol. 7(2), pp. 294-307, April, 1998.


Automatic Key Video Object Plane Selection Using the Shape.. - Erol, Kossentini (2000)   (6 citations)  (Correct)

....and performing edge tracking [8] 9] Other algorithms involve operations in the compressed domain (e.g. MPEG 1 2) and take into account the texture coding modes (intra, inter, etc. and the significant changes in DC coefficients to detect shot boundaries and to select key frames [10] [11], 12] 13] While key frames provide a summary of the video content, they cannot provide an accurate description of the individual objects within a video scene. Access to individual objects in a video sequence is essential for content based video indexing and retrieval systems that support ....

Kobla, V., and Doermann, D., "Indexing and retrieval of MPEG compressed video", Journal of Electronic Imaging, vol. 7(2), pp. 294-307, April, 1998.


Partitioning of Video Objects into Temporal Segments Using.. - Erol, Kossentini (2000)   (Correct)

....intra coded texture macroblocks in an inter coded frame is generally an indication of a major change, such as a scene cut, in a video sequence. A number of algorithms employing the texture coding modes for temporal segmentation of frame based video have been proposed by several researchers [2] 3][4]. These algorithms operate on H.263 or MPEG1 2 bitstreams, and divide a video sequence into video shots, which represent a continuous action in time and space. Another algorithm using the texture coding modes is proposed in [5] for key video object plane selection in the MPEG 4 compressed domain. ....

Kobla, V., and Doermann, D., "Indexing and retrieval of MPEG compressed video", Journal of Electronic Imaging, Vol. 7(2), pp. 294-307, April, 1998.


Video Retrieval Using Spatio-Temporal Descriptors - DeMenthon, Doermann   Self-citation (Doermann)   (Correct)

No context found.

V. Kobla, and D. Doermann, "Indexing and Retrieval of MPEG-compressed Video", Journal of Electronic Imaging, pp. 294-307, 1998.


Video Retrieval Of Near-Duplicates Using k-Nearest Neighbor.. - DeMenthon   (Correct)

No context found.

V. Kobla, and D. Doermann, "Indexing and Retrieval of MPEG-compressed Video", Journal of Electronic Imaging, pp. 294-307, 1998.


Content-based Video Retrieval: An overview - Marchand-Maillet (2000)   (Correct)

No context found.

V. Kobla and D. Doermann. Indexing and retrieval of MPEG compressed video. Journal of Electronic Imaging, 7(2):294307, April 1998.


A Survey on Content based video retrieval - Yongsheng, Ming   (Correct)

No context found.

V. Kobla, D.S. Doermann, and K.I. Lin. Indexing and Retrieval of MPEG Compressed Video, Journal of Electronic Imaging, Vol.7(2), 1998.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC