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Gradual Transition Detection Using Average Frame Similarity
2004 Conference on Computer Vision and Pattern Recognition Workshop
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In this paper, we present a gradual transition detection approach based on average frame similarity and adaptive thresholds. ...
However, automated detection of gradual transitions, and the precise determination of the corresponding start and end frames, remains problematic. ...
However, gradual transitions are more difficult to detect using automated systems [14, 22] . ...
doi:10.1109/cvpr.2004.357
dblp:conf/cvpr/VolkmerTW04a
fatcat:mecy25enpzgphklhgsabm3g6sm
An Unified Transition Detection Based on Bipartite Graph Matching Approach
[chapter]
2010
Lecture Notes in Computer Science
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In this work, we propose an approach to cope with transition detection in which we define and use a new dissimilarity measure based on the size of the maximum cardinality matching calculated using a bipartite ...
This paper addresses transition detection which consists in identifying the boundary between consecutive shots. ...
[9] proposes a linear transition detector for both cuts and linear gradual transitions. Their method searches for the transition center and transition length using different values of frame step. ...
doi:10.1007/978-3-642-16687-7_28
fatcat:mhxo43a26ncplhk6xll2ibwi64
A Novel Shot Detection Approach Based on ORB Fused with Structural Similarity
2019
IEEE Access
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Finally, the gradual transition is detected by determining the maximum amount of the continuous increasing/decreasing interframe differences in the candidate segment without cut transition. ...
Then, the cut transition is detected by comparing ORB features, fused with SSIM, of consecutive frames in the candidate segment. ...
If the cut transition detection module fails to obtain cut transition, the gradual transition detection is involved to detect gradual transition. ...
doi:10.1109/access.2019.2962328
fatcat:sl4qko3ngfbjxjesfmurwwmupi
Gradual shot boundary detection using localized edge blocks
2006
Multimedia tools and applications
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Average edge frame sequence is obtained by performing Sobel edge detection. Features are extracted by comparing variance with those of local blocks in the average edge frames. ...
The lowest variance in the local frame sequence is chosen as a gradual detection point. ...
The approach is less concerned about actual features used for dissolve detection, but more with a general framework for recognizing gradual transitions. ...
doi:10.1007/s11042-006-7715-8
fatcat:cwlwgzm6ojft7jeluv2avsp56y
Shot detection combining Bayesian and structural information
2001
Storage and Retrieval for Media Databases 2001
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In the Bayesian approach, a probability distribution function models each transition type, e.g., normal, abrupt, gradual transition, and also models shot length. ...
gradual changes caused by motion of camera and objects. ...
The distribution function for cut and gradual transition effect is a Guassian function with average = 50, variance = 150 and average = 15, variance = 16, respectively. ...
doi:10.1117/12.410962
dblp:conf/spieSR/HanK01
fatcat:45km542ek5hyfaxptrsv3ouu7y
Detection and Classification of Shot Transitions
2001
Procedings of the British Machine Vision Conference 2001
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It uses the average interframe correlation coefficient and block-based motion estimation to track image blocks through the video sequence and to distinguish changes caused by shot transitions from those ...
This paper introduces a novel approach to the detection and classification of shot transitions in video sequences including cuts, fades and dissolves. ...
A lower threshold is used to detect small differences that occur for the duration of the gradual transition while a higher threshold is used in the detection of shot cuts and gradual transitions. ...
doi:10.5244/c.15.9
dblp:conf/bmvc/PorterMT01
fatcat:uop5qo7dsjakdpnwveat5w6s5y
Video Shot Boundary Detection Based on Feature Fusion and Clustering Technique
2020
IEEE Access
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In particular, the detection of gradual shot boundary and long shot are also more accurate. Meanwhile, the average time consumption is also reduced. ...
For the problems of low accuracy and high complexity in detection of gradual shot boundary and long shot, a new video shot boundary detection algorithm based on feature fusion and clustering technique ...
[16] use the structural similarity index (SSIM) method to calculate the similarity of feature distance to estimate the similarity of frames, so as to achieve the detection of abrupt and gradual shot ...
doi:10.1109/access.2020.3040861
fatcat:oucgnawee5gfrj7trchnrtooyy
A Classification Approach to Video Shot Boundary Detection
2017
International Journal of Signal Processing, Image Processing and Pattern Recognition
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We also found that the detection of shot cuts and gradual transitions can be improved by using features generated by several shot boundary detection algorithms. ...
Video content retrieval just like information retrieval requires some pre-processing such as indexing, key-frame selection and most importantly accurate video shot boundary detection. ...
In the same vein, Volkmer [23] proposed a method for detecting gradual transition using an average frame similarity. ...
doi:10.14257/ijsip.2017.10.12.08
fatcat:oxanrfout5gvxp2rviyaccqoae
A Multi-level Framework for Video Shot Structuring
[chapter]
2005
Lecture Notes in Computer Science
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The transition type (abrupt or gradual) are finally determined by exploiting the histogram intersection plot. ...
In this paper, we present a detection and classification framework for the video shot segmentation in a coarse-to-fine fashion. The initial transitions are detected from a sub-sampled video space. ...
matched gradual transitions, X gradual is the total number of frames in the detected gradual transitions, and Y gradual is the total number of frames in the reference gradual transitions. ...
doi:10.1007/11559573_21
fatcat:4hsuthc5q5f3vg57p52mnrmhdm
Reducing False Positives in Video Shot Detection Using Learning Techniques
[chapter]
2006
Lecture Notes in Computer Science
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Traditional shot detection methods use pixel difference, histograms, or temporal slice analysis to detect hard-cuts and gradual transitions. ...
Similarities between successive frames are computed by finding the correlation and is further analyzed using a wavelet transformation. ...
Most of the gradual detection algorithms [16, 1, 17, 18, 19] use a hard threshold to detect the shot transitions. ...
doi:10.1007/11949619_38
fatcat:r7ay77f4tbgbllky3myz3jmpou
A Novel Hybrid Keypoint Detection Algorithm for Gradual Shot Boundary Detection
2020
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE)
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The summarization process comprises of several activities such as preprocessing, features extraction, frame similarity analysis, shot boundary detection (SBD), etc. ...
This paper presents a novel hybrid keypoint detection algorithm for the gradual shot boundary detection. ...
The salient keypoints, obtained using HKD for each frame is compared with its adjacent frame using sum of squared difference to measure the similarity. ...
doi:10.1109/ic-etite47903.2020.343
fatcat:vokspi7wc5fcvnywass4z6v6pe
Video Segmentation Using Hidden Markov Model with Multimodal Features
[chapter]
2004
Lecture Notes in Computer Science
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By using Hidden Markov Model classifier with both audio and visual features, erroneous shot boundary detection and over-segmentation were avoided compared with conventional algorithms. ...
The experimental results show that the propose method is effective in shot detection. ...
Using these features, HMM classifies video frames into non-transition region, abrupt transition region, and gradual transition region. ...
doi:10.1007/978-3-540-27814-6_48
fatcat:l6mtkvtxzfbrrkeuo6pougd4ha
Fast Video Shot Transition Localization with Deep Structured Models
[article]
2018
arXiv
pre-print
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However, localization of gradual transitions are still under-explored due to the high visual similarity between adjacent frames. ...
Previous studies are restricted on detecting sudden content changes between frames through similarity measurement and multi-scale operations are widely utilized to deal with transitions of various lengths ...
However, when applied to gradual transition detection, it is not effective in the detection of gradual transitions. ...
arXiv:1808.04234v1
fatcat:z6c76xmep5gltpkf33yrwpd6uu
Two-Step Detection of Video Shot Boundaries in a Wavelet Transform Domain
2005
The Journal of the Institute of Image Electronics Engineers of Japan
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It captures gradual shot transitions such as dissolves and fades as well as abrupt shot transitions such as cuts. ...
Summary> This paper presents a two-step algorithm for detecting video shot boundaries in a wavelet transform domain. ...
A camera motion produces similar frame distance and interval distance as a gradual transition does. A camera
ing video shot boundaries. ...
doi:10.11371/iieej.34.17
fatcat:jptolzm45fdkhdmcsgiqqvrwwi
ViBE video database system: an update and further studies
1999
Storage and Retrieval for Media Databases 2000
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In this paper we extend the shot transition detection component of the ViBE video database system to include gradual scene changes. ...
We also present results on the performance of our cut detection algorithm using a large test set. The performance of two other techniques are compared against our method. ...
Detection of Gradual Transitions For the detection of dissolves and fades a windowing approach similar to the one above is used. ...
doi:10.1117/12.373549
dblp:conf/spieSR/TaskiranBD00
fatcat:44pfc4aaqndmtiodnxsrux2fqa
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