Multiple Description Coding

Gadgil, Neeraj J.; Comer, Mary L.; Delp, Edward J.

doi:10.1016/b978-0-12-420149-1.00008-9

Cited by 8 publications

(2 citation statements)

References 128 publications

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“…Error concealment methods which will be implemented on the receiver side to restore the missing and corrupted video frame using the previously decoded video data [4]. It will be noted that various post processing technique are successfully implemented such as Motion compensated temporal prediction, Spatial Interpolation, Maximally Smooth recovery, POCS, Fuzzy logic which is review by Y.Wang [10][11][12][13][14][15][16]. www.ijacsa.thesai.org III.…”

Section: B Error Concealment By Post-processing /Error Reconcealmentmentioning

confidence: 99%

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Novel Approach to Estimate Missing Data Using Spatio-Temporal Estimation Method

Shelotkar¹,

Ingole²

2016

ijacsa

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Abstract-With advancement of wireless technology and the processing power in mobile devices, every handheld device supports numerous video streaming applications. Generally, user datagram protocol (UDP) is used in video transmission technology which does not provide assured quality of service (QoS). Therefore, there is need for video post processing modules for error concealments. In this paper we propose one such algorithm to recover multiple lost blocks of data in video. The proposed algorithm is based on a combination of wavelet transform and spatio-temporal data estimation. We decomposed the frame with lost blocks using wavelet transform in low and high frequency bands. Then the approximate information (low frequency) of missing block is estimated using spatial smoothening and the details (high frequency) are added using bidirectional (temporal) predication of high frequency wavelet coefficients. Finally inverse wavelet transform is applied on modified wavelet coefficients to recover the frame. In proposed algorithm, we carry out an automatic estimation of missing block using spatio-temporal manner. Experiments are carried with different YUV and compressed domain streams. The experimental results show enhancement in PSNR as well as visual quality and cross verified by video quality metrics (VQM).

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Section: B Error Concealment By Post-processing /Error Reconcealmentmentioning

confidence: 99%

“…It explains Layered Coding with prioritized transport includes frequency domain partitioning, Successive amplitude refinement and spatial/temporal resolution refinement. Note that these techniques are not mutually exclusive; rather, they can be used together in a complementary way [10][11][12][13][14][15][16].…”

Section: A Forward Error-concealment Techniquementioning

confidence: 99%