3-DWT Based Motion Suppression for Video Shot Boundary Detection

Yang, Xu; Xu, De; Tengfei, Guan; Aimin, Wu; Congyan, Lang

doi:10.1007/11552451_166

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Also to rate the performance of the different algorithms, we used the F1 measure [11]. F1 measure is a harmonic mean of recall and precision and is given below F1 measure 2 ………………………………………………… (3) Retrieval Success Index (RSI) ……………………………… (4) The proposed system has been implemented and applied on variety of video sequences.…”

Section: Evaluation Criteriamentioning

confidence: 99%

“…They developed algorithm insensitive to object and camera motion by considering areas with low apparent motion. Xu et al [11] have proposed a motion suppression technique for shot boundary detection based on 3D wavelet transform. Jang et al [12] have proposed a shot transition detection method in which they extracted motion vectors from two consecutive frames by using the size-variable block matching and then adaptive robust estimation method was used to estimate the global motions and eliminate local motions.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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Performance Evaluation of Algorithm for Detection of Fades in Video Sequences in Presence of motion and Illumination

Chavan¹,

Akojwar²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Abstract. The detection of a fade in and a fade out in the video segmentation is very difficult as compared to the detection of abrupt transition. Mostly, the disturbances are caused due to the object/camera motion and the illumination arising from flashlight, fire, flicker and explosion. This mainly results into false positives. An algorithm has been proposed for the fade in and fades out detection. In the proposed algorithm, frames are decomposed to 5 levels using db-6 discrete wavelet transform. The mean of approximate wavelet coefficients are calculated for each frame and normalized. The variation in normalized mean of wavelet coefficient against frame index gives the presence of fade in and fades out. In our algorithm, no preprocessing or post processing is required and so the computational complexity is reduced to a great extent. The processing time is very small as compared to the previous techniques. The proposed algorithm detects and identifies almost all the cases of fade in and fade out with a negligible miss and the false detection causing due to illumination and motion. Performance comparison of the proposed algorithm with the other existing techniques clearly demonstrated its effectiveness in terms of performance metrics such as Recall, Precision, F1 measure, RSI and detection rate. Another advantage of our algorithm over the previous ones is that the detection rate is almost 100%.

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Section: Evaluation Criteriamentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

Performance Evaluation of Algorithm for Detection of Fades in Video Sequences in Presence of motion and Illumination

Chavan¹,

Akojwar²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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show abstract

Shot boundary detection in the presence of illumination and motion

Warhade

Merchant

Desai

2011

SIViP

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Effective Algorithm for Detection of Dissolve in Presence of Motion and Illumination

Chavan¹,

Akojwar²

2016

IJCA

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The detection of dissolve transition is more difficult than detecting fade in and fade out. In this transition, the last frames in the previous shot fade out and the beginning frames in the next shot fade in i.e. the overlapping of fade out and fade in occurs. The dissolves may be of three or more number of frames. In some videos very short dissolve of even three frames also occurs. So, there are lots of challenges in detection of dissolves. Also illumination and camera / object motion gives rise to false positives thereby degrading the algorithm performance. Many researchers addressed this issue but could not achieve the robustness in the presence of illumination and object / camera motion. Therefore this issue needs to be resolved. An algorithm has been proposed for dissolve detection. In this algorithm, color histogram difference between consecutive frames is calculated and average value of this difference for all consecutive frames is used as a metric for dissolve detection.

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3-DWT Based Motion Suppression for Video Shot Boundary Detection

Cited by 3 publications

References 4 publications

Performance Evaluation of Algorithm for Detection of Fades in Video Sequences in Presence of motion and Illumination

Performance Evaluation of Algorithm for Detection of Fades in Video Sequences in Presence of motion and Illumination

Shot boundary detection in the presence of illumination and motion

Effective Algorithm for Detection of Dissolve in Presence of Motion and Illumination

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