This paper provides the critical reviews on Real time Video Compression and Efficient use of Fuzzy Logic Techniques used in Video Compression and Quality Enhancement. Since the Internet is highly heterogeneous environment video codec needs to be able to generate bit streams that are highly scalable in terms of bandwidth and processing requirements looking all these problems this research paper explores the possibility of better compression ratio in real time and quality enhancement by efficient use of fuzzy logic . The first section of this paper tells the overview of the real time video compression .The second section of this paper describes the related work which has been done in the past regarding real time video compression it consists a Table-1 in reference of the time line of real time video compression and Table -2 about the differences between H.265 and H.264 .The third section of this paper consists a Table-3 which represents about the research time line using fuzzy logic in video compression .The fourth section of this paper consists a Table-4 which represents the research time line of real time video compression. Finally the conclusion of this paper is an overview on past, present and future trends in Video Compression Technologies, review of the improvements and development in video encoding over the last two decades with future possibilities.

Real time, Video compression, Fuzzy logic, Motion vector estimation, Bit rate

[1] Danny H. K. Tsang, Brahim Bensaou, and Shirley T. C. Lam, “Fuzzy-Based Rate Control for Real-Time MPEG Video”, IEEE
Transactions on Fuzzy Systems Vol. 6, Issue 4, pp. 504-516, 1998.
[2] Y.-S. Saw P.M. Grant J.M.Hannah, “Quality-optimized MPEG2 video data rate control using fuzzy logic techniques”, IEE
Proceedings - Vision, Image and Signal Processing Vol.145, Issue 3, pp. 179-186, 1998.
[3] Yun-Teng Roan and Pei-Yin Chen, “A Fuzzy Search Algorithm for the Estimation of Motion Vectors”, IEEE Transactions on Broadcasting Vol. 46, Issue 2 , pp. 121-187, 2000.
[4] Ming-Chieh Chi, Mei-Juan Chen and Ching-Ting Hsu, “Region-of-interest video coding by fuzzy control for h.263+ standard”, In the Proceedings of the IEEE Conferences 2004 IEEE International Symposium on Circuits and Systems , Vancouver, BC, Canada, pp. 93 - 96, 2004.

[5] Pei-Jun Lee and Ming-Long Lin, “ Fuzzy Logic Based Temporal Error Concealment for H.264 Video ”, ETRI Journal Vol. 28, Number 5, pp. 574-582, 2006.
[6] Mehdi Rezaei, Miska M. Hannuksela, and Moncef Gabbouj, , “ Semi-Fuzzy Rate Controller forVariable Bit Rate Video”, IEEE Transactions on Circuits and Systems for Video Technology Vol.18, Issue 5, pp. 633-65, 2008.
[7] WU Jing, DU Xin, ZHU Yun-fang, GU Wei-kang, “Adaptive Fuzzy Filter Algorithm for Real-time Video Denoising”, In the
Proceedings of the IEEE Conferences 2008 9th International Conference on Signal Processing , Beijing, China , pp. 1287 - 1291, 2008.
[8] S.M.R. Soroushmehr S. Samavi M. Saraee, “Fuzzy block matching motion estimation for video compression”, In the Proceedings of the IEEE Conferences 2009 IEEE 9th Malaysia International Conference on Communications (MICC) , Kuala Lumpur, Malaysia, pp. 1287 - 1291, 2008.
[9] Junhua Chai, Jun Ying and Li Li, “A Fuzzy Video Pre-filtering Method for Impulse Noise Reduction”, In the Proceedings of the IEEE Conferences 2009 International Conference on Test and Measurement , Hong Kong, China, pp. 176 - 183, 2009.
[10] C. Solana-Cipres, L. Rodriguez-Benitez1 J. Moreno-Garcia2 L. Jimenez1 G. Fernandez-Escribano, “ Real-time segmentation of moving objects in H.264 compressed domain with dynamic design of fuzzy sets”, IFSA-EUSFLAT Journal , pp. 19-24, 2009.
[11] Zhan Xuefeng Zhu Xiuchang, “ A novel temporal error concealment method based on Fuzzy reasoning for H.264 ”, Vol.27 No.2 JOURNAL OF ELECTRONICS (CHINA), pp. 197-205, 2010.
[12] Suvojit Acharjee Sheli Sinha Chaudhuri, “ Fuzzy Logic Based Four Step Search Algorithm for Motion Vector Estimation ”, I.J. Image, Graphics and Signal Processing, Vol. 4, pp. 49-55, 2012.
[13] T. Fryza, “Introduction to Implementation of Real Time Video Compression Method”, In the Proceedings of the IEEE Conferences 2008 15th International Conference on Systems, Signals and Image Processing , Bratislava, Slovakia, pp. 217 - 220, 2008.
[14] J. C. Galan-Hernandez, V. Alarcon-Aquino, O. Starostenko, J. M. Ramirez-Cortes “Wavelet-Based Foveated Compression
Algorithm for Real-Time Video Processing”, In the Proceedings of the IEEE Conferences 2010 Electronics, Robotics and
Automotive Mechanics Conference ,Morelos, Mexico, pp. 405 - 410, 2010.
[15] Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han and Thomas Wiegand , “Overview of the High Efficiency Video Coding (HEVC) Standard” IEEE Transactions on Circuits and Systems for Video Technology Vol. 22, Issue: 12, pp. 1649 – 1668, 2012
[16] Stamos Katsigiannis, Dimitris Maroulis, Georgios , Papaioannou , “A GPU based real-time video compression method for video conferencing”, In the Proceedings of the IEEE Conferences 2013 18th International Conference on Digital Signal Processing (DSP) , Fira, Greece, pp. 1 - 6, 2013.
[17] Ali Makki Sagheer, Ahmeed Suliman Farhanand Loay E. George, “Fast Intra-frame Compression for Video Conferencing using Adaptive Shift Coding” International Journal of Computer Applications , Vol. 81, No.8, pp. 29 – 33, 2013
[18] Ashok nayak. B , E. Nagabhooshnam “A study of efficient Block Matching Algorithms for real-time video compression applications”, In the Proceedings of the IEEE Conferences 2014 International Conference on Electronics and Communication Systems (ICECS) , Coimbatore, India , pp. 1 - 5, 2014.
[19] Stamos Katsigiannis, Georgios Papaioannou, and Dimitris Maroulis, “CVC: The Contourlet Video Compressionalgorithm for real- time applications” arxiv Journal, pp. 1 – 22, 2015
[20] Niras C. Vayalil, Joshua Haddrill and Yinan Kong, “An Efficient ASIC Design of Variable-Length Discrete Cosine Transform for HEVC”, In the Proceedings of the IEEE Conferences 2016 European Modelling Symposium (EMS) , Pisa, Italy , pp. 229 - 233, 2016.
[21] Huaying Xue, Yuan Zhang, Yunong Wei, “ Fast ROI-Based HEVC Coding for Surveillance Videos”, In the Proceedings of the
IEEE Conferences 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC), Shenzhen, China, pp. 299 - 304, 2016.
[22] S. Aparna, M. Ekambaram Naidu, “Spatial Compression and Reconstruction of Digital Video Stream Using Morphological
Filters”, In the Proceedings of the IEEE Conferences 2016 2nd International Conference on Next Generation Computing Technologies (NGCT) , Dehradun, India, pp. 777 - 781, 2016.
[23] Vivek Diliprao Indrale, Mrs. Vidya N. More, “Study of x265 and Genetic Motion Search Algorithm”, In the Proceedings of the
IEEE Conferences 2016 International Conference on Computing Communication Control and automation (ICCUBEA) , Pune, India, pp. 1 - 5, 2016.
[24] Maher Jridi, and Pramod Kumar Meher, “A Scalable Approximate DCT Architectures forEfficient HEVC Compliant Video Coding”, IEEE Transactions on Circuits and Systems for Video Technology Vol. 27, Issue 8, Aug. 2017 pp. 1815 – 1825, 2017
[25] Zhao Wang, Shiqi Wang, Jian Zhang, Shanshe Wang, Siwei Ma, “Effective Quadtree Plus Binary Tree Block Partition Decision for Future Video Coding”, In the Proceedings of the IEEE Conferences 2017 Data Compression Conference (DCC) , Snowbird, UT, USA, pp. 23 - 32, 2017.
[26] Nijad A-Najdawi, “Fast Block Matching Criterion for Real-Time VideoCommunication”, In the Proceedings of the IEEE
Conferences 2017 International Conference on New Trends in Computing Sciences (ICTCS) , Amman, Jordan, pp. 327 - 332, 2017.
[27] Krishna Reddy Konda, Yonas Teodros Tefera, Nicola Conci, and Francesco G.B. De Natale, “Real-time moving object detection and segmentation in H.264 video streams”, In the Proceedings of the IEEE Conferences 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) , Cagliari, Italy, pp. 1 - 6, 2017.
[28] Liang Zhao, Zhihai He, Wenming Cao, and Debin Zhao, “Real-Time Moving Object Segmentation and Classification from HEVC Compressed Surveillance Video”, IEEE Transactions on Circuits and Systems for Video Technology Vol. 28, Issue 6, , pp. 1346-1357, 2018.