Improved high-definition video by encoding at an intermediate resolution

Segall, Andrew; Elad, Michael; Milanfar, Peyman; Webb, Richard; Fogg, Chad E.

doi:10.1117/12.527616

Cited by 12 publications

(8 citation statements)

References 8 publications

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“…The following scenario is suited for super-resolution for compression. As Segall et al [4] describe, although the bitrates of current high definition systems ensure fidelity in representing an original video sequence, they preclude widespread availability of high definition programming. For example, satellite and Internet based distribution systems are poorly suited to deliver a number of high rate channels, and video on demand applications must absorb a significant increase in storage costs.…”

Section: Introductionmentioning

confidence: 99%

Region-based super-resolution for compression

Barreto

Álvarez

Molina

et al. 2007

Multidim Syst Sign Process

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Every user of multimedia technology expects good image and video visual quality independently of the particular characteristics of the receiver or the communication networks employed. Unfortunately, due to factors like processing power limitations and channel capabilities, images or video sequences are often downsampled and/or transmitted or stored at low bitrates, resulting in a degradation of their final visual quality. In this paper, we propose a framework for intentionally introducing downsampling of the high resolution (HR) image sequences before compression and then utilizing super resolution (SR) techniques for generating an HR video sequence at the decoder. Segmentation is performed at the encoder on an image or group of images, which is used to guide the downsampling process. It is also encoded and sent to the decoder as side information in order to guide the SR process. All the components of the proposed framework are analyzed in detail. A particular implementation of it is described and tested experimentally. The experimental results validate the usefulness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Region-based super-resolution for compression

Barreto

Álvarez

Molina

et al. 2007

Multidim Syst Sign Process

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“…We shall focus on the down-sampling procedure for better and stable performance. It is observed that the optimum down-sampling ratio depends on the bitrates [4]. Namely, the superior performance over the traditional coding only exists in a range of bitrates.…”

Section: Introductionmentioning

confidence: 93%

Adaptive down-sampling video coding

2010

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Down-sampling coding, which sub-samples the image and encodes the smaller sized images, is one of the solutions to raise the image quality at insufficiently high rates. In this work, we propose an Adaptive Down-Sampling (ADS) coding for H.264/AVC. The overall system distortion can be analyzed as the sum of the down-sampling distortion and the coding distortion. The down-sampling distortion is mainly the loss of the high frequency components that is highly dependent of the spatial difference. The coding distortion can be derived from the classical Rate-Distortion theory. For a given rate and a video sequence, the optimum down-sampling resolution-ratio can be derived by utilizing the optimum theory toward minimizing the system distortion based on the models of the two distortions. This optimal resolution-ratio is used in both down-sampling and up-sampling processes in ADS coding scheme. As a result, the rate-distortion performance of ADS coding is always higher than the fixed ratio coding or H.264/AVC by 2 to 4 dB at low to medium rates.

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“…A more realistic modeling of the compression process that also takes into account the previously estimated H II n , n < l is studied in Segall 8 and Segall et al 10 .…”

Section: Model II Preprocessing and Postprocessing Of The Video Sequmentioning

confidence: 99%

“…As Segall et al 10 describe, although the bitrates of current high definition systems ensure fidelity in representing an original video sequence, they preclude widespread availability of high definition programming. For example, satellite and Internet based distribution systems are poorly suited to deliver a number of high rate channels, and video on demand applications must absorb a significant increase in storage costs.…”

Section: Introductionmentioning

confidence: 97%

Toward a new video compression scheme using super-resolution

Molina

Katsaggelos²,

Álvarez

et al. 2006

SPIE Proceedings

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The term super-resolution is typically used in the literature to describe the process of obtaining a high resolution (HR) image or a sequence of HR images from a set of low resolution (LR) observations. This term has been applied primarily to spatial and temporal resolution enhancement. However, intentional pre-processing and downsampling can be applied during encoding and super-resolution techniques to upsample the image can be applied during decoding when video compression is the main objective.In this paper we consider the following three video compression models. The first one simply compresses the sequence using any of the available standard compression methods, the second one pre-processes (without downsampling) the image sequence before compression, so that post-processing (without upsampling) is applied to the compressed sequence. The third model includes downsampling in the pre-processing stage and the application of a super resolution technique during decoding. In this paper we describe these three models but concentrate on the application of super-resolution techniques as a way to post-process and upsample a compressed video sequences. Experimental results are provided on a wide range of bitrates for two very important applications: format conversion between different platforms and scalable video coding.

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Improved high-definition video by encoding at an intermediate resolution

Cited by 12 publications

References 8 publications

Region-based super-resolution for compression

Region-based super-resolution for compression

Adaptive down-sampling video coding

Toward a new video compression scheme using super-resolution

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