H. J. Zhang, A. Kankanhalli, and S. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, 1(1), 1993. 2 Home/Search Document Not in Database Summary Related Articles Check |
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Dissolve Detection in MPEG Compressed Video - Lifang Gu Ken (1997) (1 citation) (Correct)
....first shot fades out and the second shot fades in. Typically, fade in and fade out begin at the same time. D a a a Although dissolves are the most common gradual transitions present in conventional movies and TV programs, very few works have been reported on how to detect them. Zhang et al. [10] use a dual threshold on the intensity histogram difference to detect gradual transitions. Since only accumulative frame differences are considered, their method gives false positives to busy scenes. Besides, histogram calculation is computationally expensive. Hampapur et al. 5] propose a method ....
H. Zhang, A. Kankanhalli and S.W. Smoliar, "Automatic partitioning of full-motion video", Multimedia Systems, vol. 1, no. 1, 1993, pp. 10-28.
Multi-Timescale Video Shot-Change Detection - Pickering, Rüger (1 citation) (Correct)
....frames across a range of timescales. Looking at a wider range of frames than just those that are consecutive enables the detection of gradual changes such as fades and dissolves, while rejecting transients such as those caused by camera flashes. Influenced by Zhang s twin comparison method [2], we added functionality to detect the start and end times of gradual changes to fulfil the requirements for the TREC submission. In the remainder of this paper, we describe the shot change detection system in detail, and present the results of the TREC evaluation. 2 System Description The ....
....of d 2 suggests a cut, otherwise the break is classified as a gradual transition. The algorithm thus far detects the presence of cuts or gradual changes, but gives no indication of the start and finish points of the gradual changes. We therefore employ a method similar to that described by Zhang [2] in which a lower threshold is used to test for the start and end of a gradual transition. At each frame, the d 4 di#erence is compared to the threshold. If it is greater than the threshold it is marked as a potential start of a transition. If, on examination of successive frames, the d 4 ....
Zhang HJ, Kankanhalli A, Smoliar SW. Automatic Partitioning of Full Motion Video. Multimedia Systems vol 1, 10-28, Jan 1993.
Video Analysis in MPEG Compressed Domain - Gu (2002) (Correct)
....of a gradual shot transition dissolve. 3.1.1 Cut Detection The di#erence in grey level as well as the colour information between two consecutive frames is usually large at an abrupt shot boundary due to the content dissimilarity of the two shots. Many of the early methods for cut detection [ZKS93, HJW94b, ZMM95, AL96] were based on di#erence metrics, such as pixel intensity value di#erence and histogram di#erence. One of the problems with these di#erence based algorithms is that they are sensitive to busy scenes, in which intensities change substantially from frame to frame due to ....
H.J. Zhang, A. Kankanhalli, and S.W. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, 1(1):10--28, 1993.
Toward Automatic Music Audio Summary Generation from.. - Peeters, Burthe, Rodet (2002) (6 citations) (Correct)
....number of classes is required for these algorithms . these algorithms depends on a good initialization of the classes . most of the time, these algorithms do not take into account contiguity (spatial or temporal) of the observations. A new trend in video summary is the multi pass approach [15]. As for video, human segmentation and grouping performs better when listening (watching in video) to something for the second time [6] A similar approach is followed here. The first listening allows the detection of variations in the music without knowing if a specific part will be repeated ....
H. Zhang, A. Kankanhalli, and S. Smoliar. Automatic partitioning of full-motion video. ACM Multimedia System, 1(1):10--28, 1993.
Video Retrieval using Global Features in Keyframes - Pickering, Heesch.. (Correct)
.... declared, a gradual transition is declared if the following conditions hold: d 16 (f) d 16 (f ) for all 16 Peak value of d 8 in range f 16 occurs within f 5 In order to determine the start and end points for gradual transitions, we employ a method similar to that described by Zhang [19], in which a lower threshold, T 4 , is used to test for the start and end of a gradual transition. At each frame, the d 4 di erence is compared to the threshold. If d 4 T 4 then the frame is marked as a potential start of a transition. If, on examination of successive frames, d 4 falls below T 4 ....
H. J. Zhang, A. Kankanhalli, and S. W. Smoliar. Automatic partitioning of full-motion video. ACM Multimedia Systems, 1:10-28, 1993.
Motion Insensitive Detection of Cuts and Gradual.. - Lawrence, Ziou.. (1999) (1 citation) (Correct)
....component in available multimedia data. We must now address the indexing problem emerging from the need to manage these video documents. Classical text based indexing methods are insufficient to provide an adequate description, so a new form of indexing is needed for video sequences. Many authors [5, 7, 11, 17, 19] believe that shot boundary detection in video sequences is one of the necessary first steps in an efficient video management system. Segmentation of digital video into smaller units is also important in other domains like MPEG compression. We define the digital video segmentation problem as the ....
....with these characteristics. Data and preprocessing Segmentation algorithms for non compressed videos directly use pixel information. The first ones proposed use only graylevel intensities [12, 14] Later, other methods have been proposed to keep color information which is more complete [7, 11, 13, 15, 19]. Aigrain and Joly [1] propose to apply their method to each band separately. Some authors [12, 19] suggest to reduce color space to obtain a limited number of different colors. Finally Lee and Ip [11] use HSI space by conserving band H and S because they represent color independently from the ....
[Article contains additional citation context not shown here]
H. Zhang, A. Kankanhalli, and S. W. Smoliar. Automatic Partitioning of Full-motion Video. Multimedia Systems, 1(1):10--28, 1993. 17
Browsing a Video with Simple Constrained Queries over Fuzzy.. - Detyniecki (2000) (Correct)
....and camera motion from video. The cuts are typically found by computing an image based distance between consecutive frames of the video. Over a certain threshold we consider that there is a cut. The distance between frames can be based on statistical properties of pixels [8] histogram difference [9], compression algorithms [10] edge differences [11] or motion detection [12] We use an automatic shot boundary detection developed in our laboratory [13 14] And we automatically annotate the camera motion. Using the resulting video segmentation, we annotate each shot with keywords and a degree ....
. Zhang, H.J., Kankanhalli, A., Smoiliar, S.W., "Automatic Partitioning of FullMotion Video", Multimedia Systems Vol. 1 No1, 10-28, 1993.
A Fuzzy Framework for Unsupervised Video Content.. - Ferman, Tekalp (2001) (Correct)
....shots often implies that the shots are semantically related, or that they belong to the same narrative unit. Motion activity within a shot can be calculated in a variety of ways. Due to its computational simplicity, we employ the average frame difference value as the activity feature for a shot s [24]: i i,j= s,S l) i, J) m.N (1) 8kSkl 8 M and N denote the height and width, respectively, of a video frame in pixels. Motion related variation over a frame pair (Sk, Sk l) in s, sk,sk 1) is computed using the luminance value P(i, j) at each pixel location: I1, 17)8k 1 (i, j) Ps (i, J)l ....
H.J. Zhang, A. Kankanhalli, and S.W. Somaliar. Automatic partitioning of full-motion video. A CM/Springer Multimedia Systems, 1(1):10 28, 1993. 23
A Statistical Approach to Robust Video Temporal Segmentation - Kumar, Devatha (Correct)
....by a classifier stage to detect the transition based on some decision strategy. Most important is the underlying detection scheme. Many metrics and the classification algorithms have been proposed in the literature during the past decade, e.g. starting with the initial work of Zhang et al. [22] and Hampapur et al. 10] to some recent work of Gargi et al. 8] and Zhang et al. 21] In the following paragraphs of this section, we shall briefly review the metrics used and the classification strategy adopted, in general, and build the problem definition for the our work presented in this ....
H. J. Zhang, A. Kankanhalli, and S. W. Smoliar. Automatic Partitioning of Full Motion Video. Multimedia Systems, 1:10 -- 28, 1993.
An Evaluation of Alternative Techniques for.. - Smeaton.. (1999) (Correct)
....are hard . However, many television programs and most films use Author for correspondence special post production techniques to soften the boundaries, thus making them easier on the human eye, but more difficult to detect automatically. There are four major types of boundaries between shots [1]: A cut. This is a hard boundary and occurs when there is a complete change of shot over a span of two consecutive frames. This is commonly used in live or instudio transmissions. A fade. There are two types of fade, a fade out and a fade in. A fade out occurs when the picture gradually ....
H. J. Zhang et al, "Automatic Partitioning of Full Motion Video", Multimedia Systems, Vol 1, pp 10-28, 1993.
Multi-Timescale Video Shot-Change Detection - Pickering, Rüger (1 citation) (Correct)
....frames across a range of timescales. Looking at a wider range of frames than just those that are consecutive enables the detection of gradual changes such as fades and dissolves, while rejecting transients such as those caused by camera flashes. Influenced by Zhang s twin comparison method [2], we added functionality to detect the start and end times of gradual changes to fulfil the requirements for the TREC submission. In the remainder of this paper, we describe the shot change detection system in detail, and present the results of the TREC evaluation. 2 System Description The ....
....of d2 suggests a cut, otherwise the break is classified as a gradual transition. The algorithm thus far detects the presence of cuts or gradual changes, but gives no indication of the start and finish points of the gradual changes. We therefore employ a method similar to that described by Zhang [2] in which a lower threshold is used to test for the start and end of a gradual transition. At each frame, the d4 difference is compared to the threshold. If it is greater than the threshold it is marked as a potential start of a transition. If, on examination of successive frames, the d4 ....
Zhang H J, Kankanhalli A, Smoliar SW. Automatic Partitioning of Full Motion Video. Multimedia Systems vol 1, 10-28, Jan 1993.
AVE - Automated Home Video Editing - Xian-Sheng Hua Lie (2003) Self-citation (Zhang) (Correct)
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Zhang, H.J., Kankanhalli, A., and Smoliar, S.W. Automatic Partitioning of Full-Motion Video. Multimedia Systems, 1, 10-2, 1993.
Personalized Karaoke - Xian-Sheng Hua Lie (2003) Self-citation (Zhang) (Correct)
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H.J. Zhang, A. Kankanhalli, and S. W. Smoliar, "Automatic Partitioning of Full-Motion Video," Multimedia Systems, 1, 10-2, 1993.
Performance Evaluation Protocol for Video Scene Detection.. - Hua, Zhang, Li, Zhang (2002) Self-citation (Zhang) (Correct)
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H.J. Zhang, et al, "Automatic Partitioning of Full-Motion Video," ACM Multimedia Systems, Vol 1, pp 10-28, 1993.
Personalized Karaoke - Xian-Sheng Hua Lie (2003) Self-citation (Zhang) (Correct)
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H.J. Zhang, A. Kankanhalli, and S. W. Smoliar, "Automatic Partitioning of Full-Motion Video," Multimedia Systems, 1, 10-2, 1993.
Performance Evaluation Protocol for Video Scene Detection.. - Hua, Zhang, Li, Zhang (2002) Self-citation (Zhang) (Correct)
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H.J. Zhang, et al, "Automatic Partitioning of Full-Motion Video," ACM Multimedia Systems, Vol 1, pp 10-28, 1993.
A User Attention Model for Video Summarization - Ma, Lu, Zhang, Li (2003) (10 citations) Self-citation (Zhang) (Correct)
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H.J. Zhang, A. Kankanhalli, and S.W. Smoliar, "Automatic partitioning of full-motion video," Multimedia Systems, 1, pp.10-28, 1993.
Motion Analysis and Segmentation through Spatio-temporal.. - Ngo, Pong, Zhang (2003) Self-citation (Zhang) (Correct)
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H. J. Zhang, A. Kankanhalli, & S. W. Smoliar, "Automatic Partitioning of full-motion video," ACM Multimedia System, Vol. 1, No. 1, pp. 10-28, 1993. 35
Spatio-Temporal Browsing of Multimedia Presentations - Aygün (2003) Self-citation (Zhang) (Correct)
....of the penumbra and umbra of shadows is proposed in [93] This algorithm assumes a single light source, a stationary camera, and a plane background. There are methods that perform their operations on the block level rather than pixel level thus decreasing sensitivity to noise in the environment [109, 84]. There are also techniques that exploit the data structure in the compressed domain and simplify the image contents working in DC images obtained from Discrete Cosine Transform [105] DC image and AC energy of DCT coefficients are used for initial segmentation [95] The entropy of AC energy is ....
H. Zhang, A. Kankahalli, and S. Smoliar. Automatic partitioning of full-motion video. ACM/Springer Multimedia Systems, 1(1):10--28, 1993.
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H. J. Zhang, A. Kankanhalli, and S. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, 1(1), 1993. 2
Multi-Timescale Video Shot-Change Detection - Marcus Pickering And (1 citation) (Correct)
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Zhang HJ, Kankanhalli A, Smoliar SW. Automatic Partitioning of Full Motion Video. Multimedia Systems vol 1, 10-28, Jan 1993.
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H.-J. Zhang, A. Kankanhalli, and S.W. Smoliar, "Automatic partitioning of full-motion video," Multimedia Systems, Vol. 1, No. 1, pp. 10--28, 1993.
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H. Zhang, A. Kankanhalli, and S. W. Smoliar, "Automatic partitioning of full-motion video," Multimedia Systems, vol. 1, pp. 10--28, 1993.
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J. Zhang, A. Kankanhalli, and S.W. Smoliar, "Automatic partitioning of full- motion video", Multimedia Systems, vol. 1 no.1, pp.10-28, 1993.
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H. J. Zhang, A. Kankanhalli, S. W. Smoliar, Automatic Partitioning of Full-motion Video, in ACM Multimedia Systems, VOL. 1, NO.1, PP. 10-28, 1993.
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H.-J. Zhang, A. Kankanhalli, and S. W. Smoliar. Automatic partitioning of fullmotion video. Multimedia Systems, 1(1):10--28, 1993. 19
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H. J. Zhang, A. Kantankanhalli, and S.W. Smoliar. "Automatic partitioning of full-motion video". ACM Multimedia system, 1(1), 1993.
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Foveated Shot Detection for Video Segmentation - Boccignone, Chianese.. (Correct)
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H. Zhang, A. Kankanhalli, and S. W. Smoliar, "Automatic partitioning of full-motion video," Multimedia Syst., vol. 1, 1993, pp. 10-28.
Multiresolutional Descriptions of Digital Video in Terms of .. - Guleryuz, Ratnakar (Correct)
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H. J. Zhang, A. Kankanhalli, S. W. Smoliar, "Automatic Partitioning of Full Motion Video," Multimedia Systems, Vol. 1, pp. 10-28, July 1993
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H. Zhang, A. Kankanhalli, S. W. Smoliar, Automatic Partitioning of Full-Motion Video,MultimediaSystemsVol.1,No.1,pp.10-28,1993.
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Zhang, H.J., Kankanhalli, A., and Smoliar, S.W., "Automatic Partitioning of Full-motion Video", Multimedia Systems (1993) Vol. 1, No. 1, pp. 10-28.
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H. Zhang., et al., " Automatic partitioning of full-motion video," Multimedia Systems, Vol. 1, 1993, pp. 10
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H. Zhang, A. Kankanhalli and S.W. Smoliar, "Automatic Partitioning of Full Motion Video", ACM Multimedia Systems, 1, 1, 1993.
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H.J. Zhang, A. Kankanhalli, and S.W. Smoliar. Automatic partitioning of full-motion video. In Multimedia Systems, pages 10#28, 1993.
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H. Zhang, A. Kankanhalli and S.W. Smoliar, Automatic Partitioning of Full Motion Video, ACM Multimedia Systems, 1, 1, 1993.
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H.J. Zhang, A. Kankanhalli, and S.W. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, 1(1):10-- 28, 1993. 7
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