Histogram difference with Fuzzy rule base modeling for gradual shot boundary detection in video cloud applications

In the field of shot boundary detection the fundamental step is video content analysis towards video indexing, summarization and retrieval as to be carried out for video cloud based applications. However, there are several beneficial in the previous work; reliable detection of video shot is still a challenging issue. In this paper the focus is carried out on the problem of gradual transition detection from video. The proposed approach is fuzzy-rule based system with gradual identification and a set of fuzzy rules are evaluated with dissolve and wipes (fad-in and fad-out) during gradual transition. First, extracting the features from the video frames then applying the fuzzy rules in to the frames for identifying the gradual transitions. The main advantage of the proposed method is its level of accuracy in the gradual detection getting increased. Also, the existing gradual detection algorithms are mainly based on the threshold component, but the proposed method is rule based. The proposed method is evaluated on variety of video sequences from different genres and compared with existing techniques from the literature. Experimental results proved for its effectiveness on calculating performance in terms of the precision and recall rates.

[1]  Sudipta Roy,et al.  A Survey on Video Segmentation , 2013, ICACNI.

[2]  Shangbo Zhou,et al.  Fuzzy color distribution chart -based shot boundary detection , 2016, Multimedia Tools and Applications.

[3]  Sudipta Roy,et al.  A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection , 2016, Comput. Intell. Neurosci..

[4]  Shigang Wang,et al.  A Fast Algorithm for MPEG Video Segmentation Based on Macroblock , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[5]  Mingwei Zhang,et al.  A Novel Shot Boundary Detection Method Based on Genetic Algorithm-Support Vector Machine , 2011, 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics.

[6]  Shunlin Liang,et al.  Fractal analysis of remotely sensed images: A review of methods and applications , 2006 .

[7]  Paul Over,et al.  Video shot boundary detection: Seven years of TRECVid activity , 2010, Comput. Vis. Image Underst..

[8]  Chi-Chun Lo,et al.  Video segmentation using a histogram-based fuzzy c-means clustering algorithm , 2001, Comput. Stand. Interfaces.

[9]  David Bull,et al.  Scene change detection algorithms for content-based video indexing and retrieval , 2001 .

[10]  Majid Mirmehdi,et al.  Temporal video segmentation and classification of edit effects , 2003, Image Vis. Comput..

[11]  Suchada Sitjongsataporn,et al.  Multi-Modal Visual Features-Based Video Shot Boundary Detection , 2017, IEEE Access.

[12]  Özgür Ulusoy,et al.  Fuzzy color histogram-based video segmentation , 2010, Comput. Vis. Image Underst..

[13]  Alexander Wong,et al.  Shot Boundary Detection Using Genetic Algorithm Optimization , 2011, 2011 IEEE International Symposium on Multimedia.

[14]  Xin Liu,et al.  A Method of Video Shot-Boundary Detection based on Grey Modeling for Histogram Sequence , 2016 .

[15]  B. L. Mehdi,et al.  Applying shot boundary detection for automated crystal growth analysis during in situ transmission electron microscope experiments , 2017, Advanced Structural and Chemical Imaging.

[16]  Sudipta Roy,et al.  Video shot boundary detection: A review , 2015, 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).

[17]  Warnakulasuriya Anil Chandana Fernando,et al.  A unified approach to scene change detection in uncompressed and compressed video , 2000, 2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102).

[18]  Hui Fang,et al.  A fuzzy logic approach for detection of video shot boundaries , 2006, Pattern Recognit..

[19]  Ying Weng,et al.  Video extraction for fast content access to MPEG compressed videos , 2004, IEEE Transactions on Circuits and Systems for Video Technology.