Predicting slice loss distortion in H.264/AVC video for low complexity data prioritization

Paluri, Seethal; Kambhatla, Kashyap K. R.; Kumar, Sunil; Bailey, Barbara; Cosman, Pamela C.; Matyjas, John D.

doi:10.1109/icip.2012.6466953

Cited by 16 publications

(21 citation statements)

References 11 publications

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“…Note that computation of slice CMSE requires decoding of the entire GOP for every slice loss, which introduces computational overhead. This overhead can be avoided by predicting the slice CMSE using a low-complexity scheme recently proposed by us in [9]. This slice CMSE prediction scheme uses certain parameters from the current encoded frame alone without using the future frames in the GOP.…”

Section: Priority Assignment For H264 Video Slicesmentioning

confidence: 99%

“…Since computing the video PSNR requires decoding the video at the receiver, it is not feasible to use PSNR directly as the optimization metric due to its heavy computational complexity. The PSNR of a compressed video stream depends on several factors, including the video characteristics, bit rate, the percentage of lost slices, and their CMSE values [9,34]. Therefore, we define a function 'normalized F, ' denoted by F, which represents the weighted distortion contributed by the slice loss rates and their corresponding normalized CMSE values, as…”

Section: Formulation Of Optimization Problemmentioning

confidence: 99%

“…H.264 slices can be prioritized based on their distortion contribution to the received video quality [9,[33][34][35][36][37]. In this paper, the total distortion of a slice loss is computed using the cumulative mean square error (CMSE), which takes into consideration the error propagation within the entire GOP [9,34]. Let the original uncompressed video frame at time t be f (t), the decoded frame without the slice loss bef (t), and the decoded frame with the slice loss bef (t).…”

Section: Priority Assignment For H264 Video Slicesmentioning

confidence: 99%

“…An FEC code that provides unequal error protection (UEP), i.e., a higher (lower) protection to high (low)-priority video slices, can achieve considerable quality improvement compared to the equal error protection (EEP) FEC codes [8,9]. Note that the UEP FEC codes may be employed both at the application layer (AL) and physical layer (PL).…”

Section: Introductionmentioning

confidence: 99%

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Optimized cross-layer forward error correction coding for H.264 AVC video transmission over wireless channels

Talari

Kumar

Rahnavard

et al. 2013

J Wireless Com Network

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Forward error correction (FEC) codes that can provide unequal error protection (UEP) have been used recently for video transmission over wireless channels. These video transmission schemes may also benefit from the use of FEC codes both at the application layer (AL) and the physical layer (PL). However, the interaction and optimal setup of UEP FEC codes at the AL and the PL have not been previously investigated. In this paper, we study the cross-layer design of FEC codes at both layers for H.264 video transmission over wireless channels. In our scheme, UEP Luby transform codes are employed at the AL and rate-compatible punctured convolutional codes at the PL. In the proposed scheme, video slices are first prioritized based on their contribution to video quality. Next, we investigate the four combinations of cross-layer FEC schemes at both layers and concurrently optimize their parameters to minimize the video distortion and maximize the peak signal-to-noise ratio. We evaluate the performance of these schemes on four test H.264 video streams and show the superiority of optimized cross-layer FEC design.

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Section: Priority Assignment For H264 Video Slicesmentioning

confidence: 99%

Section: Formulation Of Optimization Problemmentioning

confidence: 99%

Section: Priority Assignment For H264 Video Slicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimized cross-layer forward error correction coding for H.264 AVC video transmission over wireless channels

Talari

Kumar

Rahnavard

et al. 2013

J Wireless Com Network

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show abstract

“…A forward error correction code with unequal error protection capability is more useful in video streaming applications since they provide higher protection to high priority packets and vice versa comparison to equal error protection schemes where protection does not depends on priority of packets. In such a way considerable quality improvement can be provided by UEP-FEC codes [8,9].…”

Section: Introductionmentioning

confidence: 99%

An End-To-End Video Transmission System over Various Wireless Environments

John¹

2015

IJAREEIE

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This paper presents framework for video transmission over wireless networks with LDPC based error correction mechanism to ensure error free data delivery with H.264 AVC video encoder to cope up with limited bandwidth issue. Video stream were transmitted over wireless network and compared for Bit Error Rate. The wireless link between sender and transmitter is considered to have characteristics of AWGN, Rayleigh, Nakagami and Rician fading environment. This paper is organized as follows: section-II describes related work in the field of efficient video transmission followed by the basics of forward error correction schemes in section-III. Section-IV represents proposed video transmission algorithm and section-V contains experimental setup and simulation results. Finally section-VI concludes this paper.

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A low complexity model for predicting slice loss distortion for prioritizing H.264/AVC video

Paluri

Kambhatla

Bailey

et al. 2014

Multimed Tools Appl

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The cumulative mean squared error (CMSE) is a widely used measure of distortion introduced by a slice loss. We propose a low-complexity and low-delay generalized linear model for predicting CMSE contributed by the loss of individual H.264/AVC encoded video slices. We train the model over a video database by using a combination of video factors that are extracted during the encoding of the current frame, without using any data from future frames in the group of pictures (GOP). We then analyze the accuracy of the CMSE prediction model using cross-validation and correlation coefficients. We prioritize

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Predicting slice loss distortion in H.264/AVC video for low complexity data prioritization

Cited by 16 publications

References 11 publications

Optimized cross-layer forward error correction coding for H.264 AVC video transmission over wireless channels

Optimized cross-layer forward error correction coding for H.264 AVC video transmission over wireless channels

An End-To-End Video Transmission System over Various Wireless Environments

A low complexity model for predicting slice loss distortion for prioritizing H.264/AVC video

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