An Adaptive Search Algorithm to Estimate the Motion in SNR Scalable Video Coding
Rajkumar Maharaju1, Madhu Damera2, Srikanth Yalabaka3
1Rajkumar Maharaju, Department of Electronics and Communication Engineering, S R Engineering College, Warangal, India.
2Madhu Damera, Department of Electronics and Communication Engineering, Christu Jyothi Institute of Technology & Science, Jangaon, India.
3Srikanth Yalabaka, Department of Electronics and Communication Engineering, S R Engineering College, Warangal, India.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 657-659 | Volume-8 Issue-8S June 2019 | Retrieval Number: H11120688S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The need of video applications such as, video telephony, video conferencing and live streaming video etc. increasing since years. The advancement in technology provide various devices included the capabilities of quality and resolution in broad range. These is one of the reason to motivating the researchers to improve the scalability in processing the video so that when various devices had network bandwidths may have different resolutions as well as quality. As it can be known Scalability in these three modes i.e., temporal, spatial and SNR. In this paper looking at SNR scalability with an Adaptive search algorithm to estimate the motion which can be reduced the computational time of video encoding.
Keywords: Motion Estimation, Scalable Video Coding, SNR Scalability.
Scope of the Article: Communication