Codec with Neuro-Fuzzy Motion Compensation & Multi-Scale Wavelets for Quality Video Frames

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Prakash Jadhav 1,* Siddesh G K 2

1. K. S. School of Engineering & Management / ECE Department, Bangalore, 560109, India

2. J.S.S.Academy of Technical Education / ECE Department, Bangalore, 560060, India

* Corresponding author.


Received: 18 May 2017 / Revised: 28 May 2017 / Accepted: 6 Jun. 2017 / Published: 8 Sep. 2017

Index Terms

Artificial Neural Networks, Peak Signal to Noise Ratio, Root Mean Square Error, Quantization, Discrete Cosine Transform, Bandwidth


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


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