NDLI: 3D video shot boundary detection based on clustering of depth-temporal features

Content Provider	IEEE Xplore Digital Library
Author	Ferreira, L. Assuncao, P. da Silva Cruz, L.A.
Copyright Year	2013
Description	Author affiliation: Inst. de Telecomun., Inst. Politec. de Leiria, Leiria, Portugal (Ferreira, L.; Assuncao, P.) \|\| DEEC, Univ. de Coimbra, Coimbra, Portugal (da Silva Cruz, L.A.)
Abstract	This paper proposes an algorithm for automatic detection of 3D video shots with different perceptual features. The proposed algorithm is able to identify distinct three-dimensional visual scenes by detecting 3D video shot boundaries based on clustering of depth-temporal features. A combination of texture variation along the temporal dimension and depth variance is used by K-means clustering to find the stereo frames which comprised the 3D scene boundaries. An important characteristic of the proposed algorithm in comparison with others published in the literature for temporal segmentation of classic 2D video is that no thresholds are used in the decision processes neither training data sets. The experimental results show that the proposed method is capable of achieving high recall (e.g., 0.95) and precision rate (e.g., 1.0) in video sequences with both sharp and smooth 3D scene transitions.
Starting Page	1
Ending Page	6
File Size	1732830
Page Count	6
File Format	PDF
ISBN	9781479909551
ISSN	19493991
e-ISBN	9781479909568
DOI	10.1109/CBMI.2013.6576543
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-17
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Histograms Accuracy Clustering algorithms shot boundary detection recall and precision rate 3D video segmentation Feature extraction Vectors Multimedia communication
Content Type	Text
Resource Type	Article

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