A fully scalable wavelet video coding scheme with homologous inter-scale prediction

In this paper, we present a fully scalable wavelet-based video coding architecture called STP-Tool, in which motion-compensated temporal-filtered subbands of spatially scaled versions of a video sequence can be used as a base layer for inter-scale predictions. These predictions take place in a pyramidal closed-loop structure between homologous resolution data, i.e., without the need of spatial interpolation. The presented implementation of the STP-Tool architecture is based on the reference software of the Wavelet Video Coding MPEG Ad-Hoc Group. The STP-Tool architecture makes it possible to compensate for some of the typical drawbacks of current wavelet-based scalable video coding architectures and shows interesting objective and visual results even when compared with other wavelet-based or MPEG-4 AVC/H.264-based scalable video coding systems

A Fully Scalable Video Coder with Inter-Scale Wavelet Prediction and Morphological Coding

In this paper a new fully scalable - wavelet based - video coding architecture is proposed, where motion compensated temporal filtered subbands of spatially scaled versions of a video sequence can be used as base layer for inter-scale predictions. These predictions take place between data at the same resolution level without the need of interpolation. The prediction residuals are further transformed by spatial wavelet decompositions. The resulting multi-scale spatiotemporal wavelet subbands are coded thanks to an embedded morphological dilation technique and context based arithmetic coding. Dyadic spatio-temporal scalability and progressive SNR scalability are achieved. Multiple adaptation decoding can be easily implemented without the need of knowing a predefined set of operating points. The proposed coding system allows to compensate some of the typical drawbacks of current wavelet based scalable video coding architectures and shows interesting visual results even when compared with the single operating point video coding standard AVC/H.264

Spatio-Temporal Scalable Video Coding using Adaptive Infield/Inframe DCT

This paper describes a spatio-temporal resolution scalable coding scheme. Resolution scalability means a coding property where lower partial resolution pictures can be obtained by decoding only subsets of the total coded bit stream, while the full resolution picture is reconstructed by decoding the total bit stream. This scheme employs frame subsampling associated with adaptive interpolation for temporal scalability and adaptive infield/inframe DCT for spatial scalability. The proposed scheme provides four different spatio-temporal resolutions of a video sequence-two temporal resolutions, each consisting of two spatial resolutions. This can be applied to interlaced video sequences effectively. Computer simulation results have demonstrated that this scheme has better coding performance compared to conventional non adaptive methods

Subband Scalable Coding for Interlaced Video Sequences

Resolution scalability refers to a picture coding property where pictures at lower different resolutions can be reconstructed by decoding only the subsets of a single coded bit stream, while the full resolution picture is reconstructed by decoding the total bit stream. This paper describes a spatio-temporal scalable video coding scheme which employs adaptive field/frame subsampling with adaptive interpolation for temporal scalability and adaptive infield/inframe subband coding for spatial scalability. The proposed scheme can be applied to interlaced video sequences effectively, providing four different spatio-temporal resolutions of an input video sequence. Computer simulation experimental results have shown that this scheme has higher coding performance compared to conventional non adaptive schemes

Overview of the Low Complexity Enhancement Video Coding (LCEVC) Standard

The Low Complexity Enhancement Video Coding (LCEVC) specification is a recent standard approved by the ISO/IEC JTC 1/SC 29/WG04 (MPEG) Video Coding. The main goal of LCEVC is to provide a standalone toolset for the enhancement of any other existing codec. It works on top of other coding schemes, resulting in a multi-layer video coding technology, but unlike existing scalable video codecs, adds enhancement layers completely independent from the base video. The LCEVC technology takes as input the decoded video at lower resolution and adds up to two enhancement sub-layers of residuals encoded with specialized low-complexity coding tools, such as simple temporal prediction, frequency transform, quantization, and entropy encoding. This paper provides an overview of the main features of the LCEVC standard: high compression efficiency, low complexity, minimized requirements of memory and processing power

Scalable video coding : a review

Scalable video coding (SVC) is classified as layered video codec which is the extension of H.264/AVC standard [I, 2]. SVC based layered video coding is suitable for different usecases and different bitstream e.g., supporting heterogeneous devices with a single, scalable bitstream. Such a stream allows for delivering a decode-able and presentable quality of the video depending on the device capabilities. In terms of spatiotemporal and quality, scalability of SVC is referred as a functionality that allows the removal of par1s of the bit-stream while achieving a reasonable coding efficiency of the decoded video at reduced temporal, Signal to Noise Ratio (SNR), or spatial resolution [3]. The three different types of scalability, i.e. CGS, MGS, and FGS, can be combined in order that the single scalable bitstream can support multitude of representations with different spatiotemporal resolutions and bit rates. The efficient scalable video coding provides benefits in many applications [3-5]

Wavelet-based encoding for HD applications

In the past decades, most of the research on image and video compression has focused on addressing high bandwidth- constrained environments. However, for high resolution and high quality image and video compression, as in the case of High Definition Television (HDTV) or Digital Cinema (DC), the primary constraints are related to quality and flexibility. This paper presents a comparison between scalable wavelet-based video codecs and the state of the art in single point encoding and it investigates the obtainable compression efficiency when using temporal correlation with respect to pure intra coding

Subjective evaluation of scalable video coding for content distribution

This paper investigates the influence of the combination of the scalability parameters in scalable video coding (SVC) schemes on the subjective visual quality. We aim at providing guidelines for an adaptation strategy of SVC that can select the optimal scalability options for resource-constrained networks. Extensive subjective tests are conducted by using two different scalable video codecs and high definition contents. The results are analyzed with respect to five dimensions, namely, codec, content, spatial resolution, temporal resolution, and frame quality