A real-time SNR scalable transcoder for MPEG-2 video streams (original) (raw)

SNR-scalable extension of H.264/AVC

2004 International Conference on Image Processing, 2004. ICIP '04., 2004

Abstract We present an SNR-scalable extension of the H. 264/AVC video coding standard. To achieve an efficient SNR-scalable bit-stream representation of a video sequence, the temporal dependencies between pictures are exploited by using an open-loop subband ...

An operational rate-distortion optimal single-pass SNR scalable video coder

2001

Abstract We introduce a new methodology for signal-to-noise ratio (SNR) video scalability based on the partitioning of the DCT coefficients. The DCT coefficients of the displaced frame difference (DFD) for inter-blocks or the intensity for intra-blocks are partitioned into a base layer and one or more enhancement layers, thus, producing an embedded bitstream. Subsets of this bitstream can be transmitted with increasing video quality as measured by the SNR.

SNR scalable video coder using progressive transmission of DCT coefficients

1998

abstract The importance of signal-to-noise ratio (SNR) video compression algorithms has increased in the past few years. This emergence corresponds with the vast increase of products and applications requiring the transmission of digital video stream. s these new applications, including video telephony/teleconferencing, video surveillance/public safety, and video-to-demand, require limiting the bandwidth of the compressed bitstream to less than the capacity of the transmission channel.

On video SNR scalability

1998

Abstract We compare two SNR scalable video codecs. The first codec (CODEC1) is a three-layer single-pass quantization algorithm based on H. 263 and extends the work presented by Robers (see Master's Thesis Northwestern University, 1997) and Robers, Kondi and Katsaggelos (see Proc. SPIE Conf. on Visual Comm. and Image Proc., p. 201-12, 1998). The second codec (CODEC2) implements three layer SNR scalability as described in Annex O of the H.

Rate control for MPEG-2 SNR scalability and stream morphing using codeword estimation and overhead modelling

Signal Processing: Image Communication, 2003

Many encoder architectures, notably for scalable systems such as MPEG-2 SNR scalability and stream morphing, require DCT-domain techniques for the estimation of the rate-distortion characteristics of a video frame for use in the rate control process. This paper develops a CBR rate control framework that can be used for single-layer MPEG-4 Simple Profile as well as two MPEG-4-based scalable systems, one following the structure described in MPEG-2 and also stream morphing. The framework supports perceptual quantization and also low bit rate operation by modelling macroblock overhead as well as the bits required to code non-zero DCT coefficients. Experimental results demonstrate the performance of stream morphing, in both objective and subjective measures, is in almost all cases superior to the MPEG-2 SNR scalability and MPEG-4 Fine Granularity Scalability.

Analysis of the efficiency of snr-scalable strategies for motion compensated video coders

2004 International Conference on Image Processing, 2004. ICIP '04.

In this paper. an analysis of the efficiency o f three signal-to-noise ratio (SNR) scalablc strategies for motion compensated video coders and their non-scalable counterpan is presented. After assuming some models and hypotheses with respect to the signals and systems involved, we have obtained the SNR of each coding strategy as a function of the decoding rate. To validate our analysis, we have compared our theoretical results with data from encodings of real video sequences. Results show that our analysis describes qualitatively the pcrformance o f each scalable stratcgy. and therefore. i t can be useful to understand main fratures of each scalable technique and what factors inHucnce their cfficiency.

Joint source-channel coding for motion-compensated DCT-based SNR scalable video

IEEE Transactions on Image Processing, 2002

In this paper, we develop an approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission. A framework for the optimal selection of the source and channel coding rates over all scalable layers is presented such that the overall distortion is minimized. The algorithm utilizes universal rate distortion characteristics which are obtained experimentally and show the sensitivity of the source encoder and decoder to channel errors. The proposed algorithm allocates the available bit rate between scalable layers and, within each layer, between source and channel coding. We present the results of this rate allocation algorithm for video transmission over a wireless channel using the H.263 Version 2 signal-to-noise ratio (SNR) scalable codec for source coding and rate-compatible punctured convolutional (RCPC) codes for channel coding. We discuss the performance of the algorithm with respect to the channel conditions, coding methodologies, layer rates, and number of layers.

Overview of the Scalable H.264/MPEG4-AVC Extension

The scalable extension of H.264/MPEG4-AVC is a current standardization project of the Joint Video Team (JVT) of the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). This paper gives an overview of the design of the scalable H.264/MPEG4-AVC extension and describes the basic concepts for supporting temporal, spatial, and SNR scalability. The efficiency of the described concepts for providing spatial and SNR scalability is analyzed by means of simulation results and compared to H.264/MPEG4-AVC compliant single layer coding.

New rate adaptation method for JPEG2000-based SNR Scalable Video Coding with Integer Linear Programming models

In the last few years scalable video coding emerged as a promising technology for efficient distribution of videos through heterogeneous networks. In a heterogeneous environment, the video content needs to be adapted in order to meet different end terminal capability requirements (user adaptation) or fluctuations of the available bandwidth (network adaptation). Consequently, the adaptation problem is a critical issue in scalable video coding design. In this paper we introduce a new adaptation method for a proposed JPEG2000-based SNR scalable codec, that formulates and solves the adaptation problem as an Integer Linear Programming problem.

Model-Based Transrating of H.264 Coded Video

IEEE Transactions on Circuits and Systems for Video Technology, 2000

This paper presents a model-based transrating (bit-rate reduction) system for H.264 coded video via requantization.