International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 9, No. 9, 8 Sep. 2017
Cover page and Table of Contents: PDF (size: 722KB)
Codec with Neuro-Fuzzy Motion Compensation & Multi-Scale Wavelets for Quality Video Frames
Full Text (PDF, 722KB), PP.11-17
Views: 0 Downloads: 0
Author(s)
Prakash Jadhav
1,*
Siddesh G K
2
Index Terms
Artificial Neural Networks, Peak Signal to Noise Ratio, Root Mean Square Error, Quantization, Discrete Cosine Transform, Bandwidth
Abstract
Virtual Reality or Immersive Multimedia as it is sometimes known, is the realization of real-world environment in terms of video, audio and ambience like smell, airflow, background noise and various ingredients that make up the real world. This environment gives us a sense of reality as if we are living in a real world although the implementation of Virtual Reality is on a laboratory scale. Audio has attained unimaginable clarity by splitting the spectrum into various frequency bands appropriate for rendering on a number of speakers or acoustic wave-guides. The combination and synchronization of audio and video with better clarity has transformed the rendition matched in quality by 3D cinema. Virtual Reality still remains in research and experimental stages. The objective of this research is to explore and innovate the esoteric aspects of the Virtual Reality like stereo vision incorporating depth of scene, rendering of video on a spherical surface, implementing depth-based audio rendering, applying self-modifying wavelets to compress the audio and video payload beyond levels achieved hitherto so that maximum reduction in size of transmitted payload will be achieved. Considering the finer aspects of Virtual Reality we propose to implement like stereo rendering of video and multi-channel rendering of audio with associated back channel activities, the bandwidth requirements increase considerably. Against this backdrop, it becomes necessary to achieve more compression to achieve the real-time rendering of multimedia contents effortlessly.
Cite This Paper
Prakash Jadhav, G.K.Siddesh,"Codec with Neuro-Fuzzy Motion Compensation & Multi-Scale Wavelets for Quality Video Frames", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.9, pp.11-17, 2017. DOI: 10.5815/ijigsp.2017.09.02
Reference
[1]Pinar Sarisaray Boluk and Sebnem Baydere “Robust Image Transmission Over Wireless Sensor Networks,” International Journal on Mobile Network Application, Springer, pp. 149-170, 2011.
[2]Lingyun Lu, Haifeng Du, and Ren Ping Liu “CHOKeR: A Novel AQM Algorithm With Proportional Bandwidth Allocation and TCP Protection,” IEEE Transactions On Industrial Informatics, Vol. 10, No. 1, pp.637-644, February 2014.
[3]Andreas Panayides, Zinonas C. Antoniou “High-Resolution, Low-Delay, and Error-Resilient Medical Ultrasound Video Communication Using H.264/AVC Over Mobile WiMAX Networks,” IEEE Journal Of Biomedical And Health Informatics, Vol. 17, No. 3, pp 619-628, May 2013.
[4]Syed Mahfuzul Aziz, and Duc Minh Pham “Energy Efficient Image Transmission in Wireless Multimedia Sensor Networks,” IEEE Communications Letters, Vol. 17, No. 6, pp 1084-1087, June 2013.
[5]Andrey Norkin, Gisle Bjøntegaard “HEVC Deblocking Filter,” IEEE Transactions On Circuits And Systems For Video Technology, VOL. 22, NO. 12, pp 1746-1754, December 2012.
[6]G. Nur Yilmaz, H.K. Arachchi, S. Dogan, A. Kondoz “3D video bit rate adaptation decision taking using ambient illumination context,” Engineering Science and Technology, an International Journal, Elsevier, pp 01-11,April 2014.
[7]Dionisis Kandris, Michail Tsagkaropoulos, Ilias Politis, Anthony Tzes “Energy efficient and perceived QoS aware video routing over Wireless Multimedia Sensor Networks,” Ad Hoc Networks Journal, Elsevier, pp 591-607, 2011.
[8]Tao Ma, Michael Hempel, Dongming Peng and Hamid Sharif “A Survey of Energy-Efficient Compression and Communication Techniques for Multimedia in Resource Constrained Systems,” IEEE Communications, pp. 01-10, 2012
[9]Rickard Sjöberg, Ying Chen, Akira Fujibayashi “Overview of HEVC High-Level Syntax and Reference Picture Management,” IEEE Transactions On Circuits And Systems For Video Technology, Vol. 22, No. 12, pp 1858-1870, December 2012.
[10]GU Junli, SUN Yihe “Optimizing a Parallel Video Encoder with Message Passing and a Shared Memory Architecture,” Tsinghua Science And Technology, ISSNll1007- 0214ll09/15llVol. 16, No. 4, pp393-398,2August 2011.
[11]Payman Moallem, Sayed Mohammad Mostafavi Isfahani, “Facial Image Super Resolution Using Weighted Patch Pairs”, I.J. Image, Graphics and Signal Processing, Vol. 5, pp 1-9, march 2013.
[12]Ashish M. Kothari, Ved Vyas Dwivedi, “ Video Watermarking – Combination of Discrete Wavelet & Cosine Transform to Achieve Extra Robustness”, I.J. Image, Graphics and Signal Processing, Vol. 5, pp 36-41, march 2013.
[13]Kethepalli Mallikarjuna, Kodati Satya Prasad, “ Image Compression and Reconstruction using Discrete Rajan Transform Based Spectral Sparsing”, I.J. Image, Graphics and Signal Processing, Vol 8, pp, 59-67, Jan 2016.
[14]Alireza Tofighi, Nima Khairdoost, “ A Robust Face Recognition System in Image and Video”, I.J. Image, Graphics and Signal Processing, Vol 7, pp, 1-11 Jul 2014.
[15]Khaled Abid, Abdelkrim Mebarki, “ Modified Streaming Format for Direct Access Triangular Data Structures”, I.J. Image, Graphics and Signal Processing, Vol 6 , pp14-22, Jan 2014.
[16]Ying Chu, Hua Mi, Zhen Ji, “BFA based neural network for image compression”, Journal of Electronics (China),May 2008, Volume 25, Issue 3, Pages 405–408,2008
[17]Robert Cierniak, Michal Knop,”Video Compression Algorithm Based on Neural Networks”,Artificial Intelligence and Soft Computing,Volume 7894 of the series Lecture Notes in Computer SciencePages 524-531,2013
[18]Enrique Pelayo,, David Buldain,, Carlos Orrite, “Selective Image Compression Using MSIC Algorithm”,Computational Intelligence,Volume 613,Pages 419-436, 20 November 2015
[19]FarhanHussain, “Exploiting deep neural networks for digital image compression”,Web Applications and Networking (WSWAN), IEEE, 2015.
[20]Sicheng Zhao; Hongxun Yao; YueGao; Guiguang Ding; Tat-Seng Chua,"Predicting Personalized Image Emotion Perceptions in Social Networks”,IEEE Transactions on Affective ComputingYear: 2016, Volume: PP, Issue: 99 ,Pages: 1 - 1, October 2016.
[21]Mingyi He; Xiaohui Li; Yifan Zhang; Jing Zhang; Weigang Wang, “Hyperspectralimage classification based on deep stacking network” IEEE International Geoscience and Remote Sensing Symposium (IGARSS),Pages: 3286 - 3289, 2016
[22]Shaima I. Jabbar; Charles R. Day; Nicholas Heinz; Edward K. Chadwick,"Using Convolutional Neural Network for edge detection in musculoskeletal ultrasound images”, International Joint Conference on Neural Networks (IJCNN),Pages: 4619 - 4626, 2016.
[23]Min Yan; Qian Yin; Ping Guo, “Image stitching with single-hidden layer feedforward neural networks”, International Joint Conference on Neural Networks (IJCNN) ,Pages: 4162 - 4169, 2016.
[24]Gong Cheng; Chengcheng Ma; Peicheng Zhou; Xiwen Yao; Junwei Han, “Scene classification of high resolution remote sensing images using convolutional neural networks”,IEEE International Geoscience and Remote Sensing Symposium (IGARSS),Pages: 767 - 770, 2016.