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Content similarity matching for video sequence identification
2010
International Journal of Contents
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In this paper, we propose an effective video identification algorithm for video sequence query that employs the Cauchy function of histograms between successive frames and the modified Hausdorff distance ...
Experimental results with several color video sequences show that the proposed algorithm for video identification yields remarkably higher performance than conventional algorithms such as Euclidean metric ...
For video indexing such as shot boundary detection, most algorithms in the compressed domain may yield more miss and false shot boundaries than those in the uncompressed domain [1] - [4] . ...
doi:10.5392/ijoc.2010.6.3.005
fatcat:ht23gju63vbcziabu6dydo5t7i
Video Shot Boundary Detection Algorithm
[chapter]
2006
Lecture Notes in Computer Science
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We present a newly developed algorithm for automatically segmenting videos into basic shot units. A basic shot unit can be understood as an unbroken sequence of frames taken from one camera. ...
Finally we detect the shot boundaries by the newly proposed shot boundary detection algorithm which it is more robust to camera or object motion, and many flashlight events. ...
Metrics in Shot Detection To segment the video into shot units, we should first define suitable metrics to extract frame difference; so that a shot boundary is declared whenever that metric exceed a given ...
doi:10.1007/11949619_35
fatcat:xdbkigpu5zcivcygzrtmuj2dfe
Shot boundary detection in the presence of illumination and motion
2011
Signal, Image and Video Processing
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This is important for accurate and robust detection of shot boundaries and in turn critical for high-level contentbased analysis of video. ...
To address these challenges, we propose an algorithm for shot boundary detection in the presence of illumination change, fast object motion, and fast camera motion. ...
[6] provided a comprehensive quantitative comparison of metrics that have been applied to shot boundary detection in digital video sequence. ...
doi:10.1007/s11760-011-0262-4
fatcat:qxbvrr5gtffuxjy2kpa3qgfqba
Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing
2002
IEEE transactions on circuits and systems for video technology (Print)
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In this paper, we address two important components in a news video story parsing system: shot boundary detection and anchorperson detection. ...
First, an unsupervised fuzzy -means algorithm is used to detect video-shot boundaries in order to segment a news video into video shots. ...
ACKNOWLEDGMENT The authors thank Hong Kong TVB and ATV stations for providing the news programs, and also Dr. Q. Yang for valuable comments. ...
doi:10.1109/tcsvt.2002.800510
fatcat:u6kze4fqife5pplf77uijao7tm
Video Shot Boundary Detection Using Normalized Periodogram Distance Metric
2016
Circuits and Systems
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metric to detect the shot boundary. ...
Video shot boundary detection is the primary task for content based video management and retrieval system. ...
Thus the proposed periodogram based D LR metric shows a promising performance in constrained and unconstrained video data for detecting shot boundaries. ...
doi:10.4236/cs.2016.710246
fatcat:hi5hepks4jflrozf2lqrjrhzxy
Temporal video segmentation for real-time key frame extraction
2002
IIEEE International Conference on Acoustics Speech and Signal Processing
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This paper presents a fast and efficient way to detect shot changes using only the temporal distribution of macroblock types in MPEG compressed video. ...
The starting point for these tasks in video browsing and retrieval systems is the low level analysis of video content, especially the segmentation of video content into shots. ...
ACKNOWLEDGEMENTS The first and third authors acknowledge support from the EPSRC Hierarchical Video Indexing Project under the Grant number R01699/01. ...
doi:10.1109/icassp.2002.1004703
fatcat:slvd33avijghjhpzlcfmnsrkue
Temporal video segmentation for real-time key frame extraction
2002
IEEE International Conference on Acoustics Speech and Signal Processing
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This paper presents a fast and efficient way to detect shot changes using only the temporal distribution of macroblock types in MPEG compressed video. ...
The starting point for these tasks in video browsing and retrieval systems is the low level analysis of video content, especially the segmentation of video content into shots. ...
ACKNOWLEDGEMENTS The first and third authors acknowledge support from the EPSRC Hierarchical Video Indexing Project under the Grant number R01699/01. ...
doi:10.1109/icassp.2002.5745442
dblp:conf/icassp/CalicSIMMO02
fatcat:in5yzqltf5a3xe7gdg2qx3gkje
Video shot detection and condensed representation. a review
2006
IEEE Signal Processing Magazine
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These basic tasks are shot boundary detection and condensed video representation. ...
Shot boundary detection is the most basic temporal video segmentation task, as it is intrinsically and inextricably linked to the way that video is produced. ...
SPECIFIC SHOT BOUNDARY DETECTION ALGORITHMS In the previous section, we analyzed the features, metrics, and decision methods that can be used to design a shot boundary detection algorithm. ...
doi:10.1109/msp.2006.1621446
fatcat:piph23alz5hgbobvqgt3xfhgt4
Hybrid Method of Video Shot Segmentation Based on YCbCr Space Color Model
2021
Journal of Engineering Research and Reports
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In this digital world, Video analysis is the most important and useful task. ...
For all these tasks, one common step is segmenting the video shots, which are referred to as Video Shots Segmentation (VSS). ...
Initially, the input video is loading and then run the videos for VSS i.e. for shot detection as shown in Fig. 2 . ...
doi:10.9734/jerr/2021/v20i1117399
fatcat:mrxjiqkiqjf6rblblkluymlqpe
Survey on Shot Boundary Detection Methods
2020
International journal for research in engineering application & management
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In this paper, the recent development for shot boundary detection has been presented. ...
Shot boundary detection is one of the most important and necessary steps. It is used to partitioning the video into shots that are necessary for indexing and retrieval of video. ...
In this paper, thirteen methods were review for shot boundary detection. ...
doi:10.35291/2454-9150.2020.0288
fatcat:zhwam7w2nrgizpntarzb2bkdru
A Method for Shot Boundary Detection and R-Frame Selection of Digital Video
[chapter]
1998
Visual Database Systems 4 (VDB4)
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For shot boundary detection, a new algorithm including dual detectors for the two types of boundaries, cuts and gradual boundaries, is proposed. ...
For this purpose, three technologies (a robust shot boundary detection algorithm, an R-frame selection algorithm, an editor that allows manual edition of the structure of the video contents to complement ...
Configuration of Adopted Neural Network A method for shot boundary detection and Rlrame selection of digital video 369 frames is used. ...
doi:10.1007/978-0-387-35372-2_27
fatcat:px5jb3wd6bfxjbsh7dycnhfulm
GOP Structure Adaptable to the Location of Shot Cuts
2012
International Journal of Electronics and Telecommunications
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In this paper we present a novel two stage algorithm for improving video coding efficiency. The proposed method combines video cut detection and adaptive GOP structure. ...
The efficiency of novel technique for video cut detection was confirmed through experiment and compared to the commonly used ones in the terms of recall and precision. ...
Shot Boundary Detection The detection of shot boundaries provides a base for nearly all video abstraction and high-level video segmentation approaches. ...
doi:10.2478/v10177-012-0018-2
fatcat:st4x4qraxre7xlaaboo2jxgnty
Video Summarization Using Higher Order Color Moments (VSUHCM)
2015
Procedia Computer Science
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The proposed technique successfully detects the shot boundary and keyframes by considering the distribution of colors in the image which are captured by higher order color moments. ...
This paper proposes a novel image -block based technique for video summarization by dividing the frames of the video into blocks and calculating the mean, variance, skew, kurtosis histogram of every block ...
In the proposed method the metrics used for detecting shots of video are Image histogram, skewness and Kurtosis. ...
doi:10.1016/j.procs.2015.03.140
fatcat:sbohkklrcfgfjof24uayb3g7je
Entropy metrics used for video summarization
2002
Proceedings of the 18th spring conference on Computer graphics - SCCG '02
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New methods for detecting shot boundaries in video sequences and for extracting key frames using metrics based on information theory are proposed. ...
The detection technique was tested on TV video sequences having different types of shots and containing significant object and camera motion inside the shots. ...
At first, experimental tests were performed using a common prefixed threshold for all video sequences in order to detect shot boundaries. The results are summarized in Table 3. ...
doi:10.1145/584458.584471
dblp:conf/sccg/CernekovaNP02
fatcat:ybnzpgjwfrauxozlfxyf3obw2u
Static video summarization approach using Binary Robust Invariant Scalable Keypoints
2021
IJCI. International Journal of Computers and Information
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The constant demand and generation of digital video information have recently resulted in an increase in the growth of digital video content. ...
For matching the binary descriptors between two successive frames, we employ a Brute-force method. And keyframes are extracted from each shot as the middle frame. ...
As a result, we propose a new method for detecting video shot boundaries based on the ratio of the matched number of key points to the total number of key points in two adjacent frames. ...
doi:10.21608/ijci.2021.207855
fatcat:kn7db43qlrcjdgy2nlmzoqzv7y
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