R. Lienhart, "Reliable Transition Detection in Videos: A Survey and Practitioner's Guide", International Journal of Image and Graphics (IJIG), Vol.1, No.3, pp.469-486, 2001. Home/Search Document Not in Database Summary Related Articles Check |
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A Statistical Approach to Robust Video Temporal Segmentation - Kumar, Devatha (Correct)
....or less restricted to a certain region in space and time, 7] and [9] However, shot boundaries are vague, there exists gradual transitions, illumination changes and or camera movement within a shot. Video transition can be a hard cut; a gradual transition can be a fade, wipe, slide or a dissolve [14]. In recent years, the research on automatic shot detection has exploded, applications are increasing and many algorithms have been published to solve shot detection problem for varying degrees of complexity of real data. Many performance studies have been carried out and the comparative results ....
....of real data. Many performance studies have been carried out and the comparative results published for different classes of video data, e.g. 3] 8] and [16] All these algorithms have their own merits and demerits see the recent survey articles by Koprinska Carrato [11] and Lienhart [14]. An open challenge to almost all such algorithms is to capture true transitions and minimize false positives detection in the presence of unknown variations. Many algorithms use heuristically chosen parameters procedures which are most effective to a particular class of video using some ....
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R. Lienhart. Reliable Transition Detection in Videos: A Survey and Practitioner's Guide. International Journal of Image and Graphics.
Automated Scene Matching in Movies - Schaffalitzky, Zisserman (2002) (1 citation) (Correct)
....an area of active research [1, 7 9, 11 15, 17, 19, 20] Here we demonstrate that 3D scene based shot matching can be achieved by applying wide baseline techniques to key frames. A film is partitioned into shots using standard methods (colour histograms and motion compensated cross correlation [5]) Invariant descriptors are computed for individual key frames within the shots (section 2) These descriptors are then matched between key frames using a set of progressively stronger multiview constraints (section 3) The method is demonstrated on a selection of shots from the feature film Run ....
R. Lienhart. Reliable transition detection in videos: A survey and practitioner's guide. International Journal of Image and Graphics, Aug 2001.
Challenges in Distributed Video Management and Delivery - Lienhart, Kozintsev.. Self-citation (Lienhart) (Correct)
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R. Lienhart, "Reliable Transition Detection in Videos: A Survey and Practitioner'sGuide," International Journal of Image and Graphics (IJIG), Vol. 1, No. 3, pp. 469-486, 2001.
Improving Media Services on P2P Networks - Lienhart, Holliman, Chen.. (2002) (2 citations) Self-citation (Lienhart) (Correct)
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R. Lienhart, "Reliable Transition Detection in Videos: A Survey and Practitioner's Guide," Int'l J. Image and Graphics, vol. 1, no. 3, 2001, pp. 469-486.
Supervised Classification For Video Shot Segmentation - Yanjun Qi Alexander (2003) (Correct)
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R. Lienhart, "Reliable Transition Detection in Videos: A Survey and Practitioner's Guide", International Journal of Image and Graphics (IJIG), Vol.1, No.3, pp.469-486, 2001.
Video Segmentation and Indexing Using Motion Estimation - Porter (2004) (Correct)
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R. Lienhart. Reliable transition detection in videos: A survey and a practitioner's guide. International Journal of Image and Graphics, 1(3):469--486, 2001.
Video Transition: Modelling and Prediction - Ren, Singh (Correct)
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R. Lienhart, "Reliable transition detection in videos: a survey and practitioner's guide", International Journal of Image and Graphics, vol. 1, no. 3, pp. 469-486, 2001b.
Foveated Shot Detection for Video Segmentation - Boccignone, Chianese.. (Correct)
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R. Lienhart, "Reliable transition detection in videos: a survey and practicioner's guide," International Journal of Image and Graphics, Vol. 1, No. 3, 2001, pp. 469--486.
Supervised Classification For Video Shot Segmentation - Yanjun Qi Alexander (2003) (Correct)
No context found.
R. Lienhart, "Reliable Transition Detection in Videos: A Survey and Practitioner's Guide", International Journal of Image and Graphics (IJIG), Vol.1, No.3, pp.469-486, 2001.
Segmenting, Modeling, and Matching Video Clips.. - Rothganger.. (Correct)
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R. Lienhart. Reliable transition detection in videos: A survey and practitioner's guide. Tech. Rep., Intel MRL, 2002.
Video Data Mining Using Configurations of Viewpoint Invariant .. - Sivic, Zisserman (Correct)
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R. Lienhart. Reliable transition detection in videos: A survey and practitioner's guide. International Journal of Image and Graphics, 2001.
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