ABSTRACT
With the explosion of video data, the demand of efficient video content analysis grows rapidly. Video shot boundary detection is the first and significant step for content based video retrieval (CBVR), which is one of the hottest research highlights. The histogram method is a major algorithm which is a reasonable compromise between processing and complexity. In this paper, a new method is proposed to improve the precision and integrity of shot boundary detection (SBD). The HSV color histogram method is used to be the first step of our detection and the histogram difference between two adjacent frames is calculated. Then, the dct perceptual hash algorithm (DPHA) is utilized to make further detection, which eliminates the fake boundaries from the results gave above. Experimental results indicate the improvement in precision and recall ratio of the proposed method.
- J. Baber, N. afzulpurkar, Mattew N. Dailey, M. Bakhtyar. 2011. Shot boundary detection from videos using entropy and local descriptor. IEEE, International Conference on Digital Signal Processing. pp. 1--6. Mar.2011.Google Scholar
- Xi Chen, Kebin Jia, Siwen Wang. 2014. Shot boundary detection algorithm based on mutual information. Computer Engineering. vol. 40, pp. 288--294, Apr. 2014.Google Scholar
- Fang Liu, Yi Wan. 2015. Improving the video shot boundary detection using the HSV color space and Image Subsampling. IEEE, International Conference on Advanced Computational Intelligence. Wuyi, pp. 351--354. Mar. 2015.Google Scholar
- Qian Huang, Haiquan Zhang, Yuan Wu. 2008. Gray value and histogram based shot boundary detection with adaptive threshold. Science Technology and Engineering. vol. 8, pp. 3787--3792. Jul. 2008.Google Scholar
- G. Pal, D. Rudrapaul, S. Acharjee, R. Ray, S. Chakraborty, N. Dey. 2015. Video shot boundary: a review. Advances in Intelligent Systems and Computing. vol. 338, pp. 119--127. 2015.Google ScholarCross Ref
- Zhen Wen, Jinhua Gao, Yingying Zhu, Yihua Du, Liangtai Deng. 2014. Perceptual hashing fusing Spatiotemporal Change Detection. ACTA ELECTRONICA SINICA. vol. 42, No. 6, pp. 1163--1167. Jun. 2014.Google Scholar
- S. Sural, Gang Qian, S. Paramnik. 2002. Segmentation and histogram generation using the HSV color space for image retrieval. IEEE, International Conference on Image Processing. vol. 2, pp. 589--592. 2002.Google ScholarCross Ref
- Hong Shao, Yang Qu, Wencheng Cui. 2015. Shot boundary detectiion algorithm based on HSV histogram and HOG feature. International Conference on Advanced Engineering Materials and Technology. Atlantis press, pp. 951--957. 2015.Google Scholar
- John S.Boreczky, Lawrence A. Rowe. 1996. Comparison of video shot boundary detection techniques. Journal of Eletronic Imaging. 122--128. Mar.1996.Google Scholar
Recommendations
A Method of Shot-Boundary Detection Based on HSV Space
CIS '13: Proceedings of the 2013 Ninth International Conference on Computational Intelligence and SecurityShot-Boundary detection is a critical step in video retrieval system. The accuracy of Shot-Boundary detection directly affects the retrieval system performance. There are many shot boundary detection algorithms, such as pixel-based algorithms and ...
Fuzzy color histogram-based video segmentation
We present a fuzzy color histogram-based shot-boundary detection algorithm specialized for content-based copy detection applications. The proposed method aims to detect both cuts and gradual transitions (fade, dissolve) effectively in videos where heavy ...
Skin color enhancement based on favorite skin color in HSV color space
Skin color enhancement based on favorite skin color is proposed to make skin color displayed on large screen flat panel TVs agree with human favorite skin color. A robust skin detection method in different intensity is obtained after analyzing the ...
Comments