Improving view random access via increasing hierarchical levels for multi-view video coding

Bekhouch, Amara; Bouchrika, Imed; Doghmane, Noureddine

doi:10.1109/tce.2016.7838097

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…Prediction process is affected by the disparity between the views and motion. Amara Berkhout et al [11] presented faster view random access to different views by using an inter-view prediction structure. For non-anchor B-pictures, the Prediction Structure without Inter-View Prediction method was introduced, which was named as PS-WOPB.…”

Section: Related Workmentioning

confidence: 99%

Low Power FPGA Implementation of Multi-View Video Coding with Hybrid Compression and Decompression Algorithm

Rahimunnisha

Sudhavani²

2020

IJEAT

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The video is one of the most useful and most appealing medium to represent some information. More usage of digital multi-media via communications media, wireless communications, intranet, internet and cellular mobile leads to the uncontrollable growth of data in media. The video compression technique is used in this research work to improve the processing speed of the entire system. In this work, Low Cost - Multi Video Coding - Hybrid Compression and Decompression (LC-MVC-HCD) method is used to reduce computation complexity. The combinational of Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) algorithms are denoted as hybrid algorithm. Based on this hybrid algorithm, the compression process is performing which improves the video coding efficiency of MVC. The LC-MVC-HCD methodwas implemented in the Matlab, Xilinx and Cadence tool. In Application Specific Integrated Circuit (ASIC) implementation, the area, power, and delay minimized by using the cadence encounter tool with 180nm and 45nm technology. In Field Programmable Gate Array (FPGA) implementation, the number of Lookup Tables (LUTs), slice, and flip-flop are minimized based on two different kinds of Virtex devices such as Virtex -6 and Virtex-7. In Matlab, Peak Signal to Noise Ratio (PSNR), computational time and bit error rate were analyzed for the LC-MVC-HCD method. The experimental outcome showed that the proposed methodology has improved performance ASIC and FPGA up to 2-3% compared to existing methods like Direct mode decision MVC and LC-MVC-DWT.

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Section: Related Workmentioning

confidence: 99%

Low Power FPGA Implementation of Multi-View Video Coding with Hybrid Compression and Decompression Algorithm

Rahimunnisha

Sudhavani²

2020

IJEAT

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“…Surveillance plays a vital role in maintaining social security and protecting infrastructure facilities of a country [1,2]. But until now, there are still considerable uncertainties associated with danger understanding and recognition, especially for engineering-critical applications [3][4][5], which can be partly attributed to implications of environment conditions to video recognition efficiency of the surveillance system.…”

Section: Introductionmentioning

confidence: 99%

Precision Security: Integrating Video Surveillance with Surrounding Environment Changes

et al. 2018

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Video surveillance plays a vital role in maintaining the social security although, until now, large uncertainty still exists in danger understanding and recognition, which can be partly attributed to intractable environment changes in the backgrounds. This article presents a brain-inspired computing of attention value of surrounding environment changes (EC) with a processes-based cognition model by introducing a ratio value of EC-implications within considered periods. Theoretical models for computation of warning level of EC-implications to the universal video recognition efficiency (quantified as time cost of implication-ratio variations from to +1 , = 1, 2, . . .) are further established. Imbedding proposed models into the online algorithms is suggested as a future research priority towards precision security for critical applications and, furthermore, schemes for a practical implementation of such integration are also preliminarily discussed.

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Multiview Video Coding: A Comparative Study Between MVC and MV-HEVC

Nasri

Doghmane

Khelil

2018

Recent Trends in Computer Applications

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Improving view random access via increasing hierarchical levels for multi-view video coding

Cited by 8 publications

References 12 publications

Low Power FPGA Implementation of Multi-View Video Coding with Hybrid Compression and Decompression Algorithm

Low Power FPGA Implementation of Multi-View Video Coding with Hybrid Compression and Decompression Algorithm

Precision Security: Integrating Video Surveillance with Surrounding Environment Changes

Multiview Video Coding: A Comparative Study Between MVC and MV-HEVC

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