Rate scalable image and video compression techniques

Delp, Edward J.; Salama, Paul; Asbun, Eduardo; Saenz, N.; Shen, Ke

doi:10.1109/mwscas.1999.867718

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…A unique problem that streaming presents for the compression technique is that in many applications the network cannot guarantee the bandwidth that is available. This has lead to the development of scalable compression techniques [7,8,9]. Much of the work in streaming research has been motivated in finding ways to overcome the limitations of the network [10].…”

Section: Overview Of Streaming Videomentioning

confidence: 99%

<title>Streaming video and rate-scalable compression: What are the challenges for watermarking?</title>

Lin

Podilchuk²,

Kalker

et al. 2001

SPIE Proceedings

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Video streaming, or the real-time delivery of video over a data network, is the underlying technology behind many applications including video conferencing, video-on-demand, and the delivery of educational and entertainment content. In many applications, particularly ones involving entertainment content, security issues, such as conditional access and copy protection must be addressed. To resolve these security issues, techniques that include encryption and watermarking need to be developed. Since the video sequences will often be compressed using a scalable compression technique and transported over a lossy packet network using the Internet Protocol (IP), the security techniques must be compatible with the compression method and data transport and be robust to errors. In this paper, we address the issues involved in the watermarking of rate-scalable video streams delivered using a practical network. Watermarking is the embedding of a signal (the watermark) into a video stream that is imperceptible when the stream is viewed but can be detected by a watermark detector. Many watermarking techniques have been proposed for digital images and video, but the issues of streaming have not been fully investigated. A review of streaming video is presented, including scalable video compression and network transport, followed by a brief review of video watermarking and the discussion of watermarking streaming video.

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Section: Overview Of Streaming Videomentioning

confidence: 99%

<title>Streaming video and rate-scalable compression: What are the challenges for watermarking?</title>

Lin

Podilchuk²,

Kalker

et al. 2001

SPIE Proceedings

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“…Thus, video streaming is often examined as a joint source/channel coding problem where the effects of these three factors are optimized in some way. 1,2 In this paper we will investigate the use of a fully rate scalable wavelet codec known as SAMCoW (S calable Adaptive M otion Compensated W avelet) [3][4][5][6][7][8][9] for use in robust video streaming. We will be examine the effect that adding error control has on the performance of the algorithm, including the continuous rate-scalability feature.…”

Section: Introductionmentioning

confidence: 99%

<title>Investigation of robust video streaming using a wavelet-based rate-scalable codec</title>

Cook

Asbun

Delp

2000

Visual Communications and Image Processing 2001

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In this paper we investigate the use of a fully rate scalable wavelet codec known as SAMCoW (S calable Adaptive M otion Compensated W avelet) for use in robust video streaming. We develop a theory based on the notion of additive temporal distortion to predict the performance of the bit stream under error conditions. Due to the regular nature of SAMCoW, a closed-form solution is found and compared experimentally to a SAMCoW stream in a simulated channel.

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“…SAMCoW (Scalable Adaptive Motion Compensated Wavelet) [1,2] is a wavelet-based, rate scalable video compression technique. Its two main features are: (i) a modified zerotree wavelet image compression scheme, known as Color Embedded Zerotree Wavelet (CEZW) [3,4], used for coding intracoded (I) frames and predictive error frames (PEF); and (ii) adaptive block-based motion compensation [5] to reduce temporal redundancy.…”

Section: Introductionmentioning

confidence: 99%

A rate-distortion approach to wavelet-based encoding of predictive error frames

Asbun

Salama²,

Delp³

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)

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In this paper, we develop a framework for efficiently encoding predictive error frames (PEF) as part of a rate scalable, wavelet-based video compression algorithm. We investigate the use of rate-distortion analysis to determine the significance of coefficients in the wavelet decomposition. Based on this analysis, we allocate the bit budget assigned to a PEF to the coefficients that yield the largest reduction in distortion, while maintaining the embedded and rate scalable properties of our video compression algorithm.

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Rate scalable image and video compression techniques

Cited by 10 publications

References 15 publications

<title>Streaming video and rate-scalable compression: What are the challenges for watermarking?</title>

<title>Streaming video and rate-scalable compression: What are the challenges for watermarking?</title>

<title>Investigation of robust video streaming using a wavelet-based rate-scalable codec</title>

A rate-distortion approach to wavelet-based encoding of predictive error frames

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