The Experts below are selected from a list of 60447 Experts worldwide ranked by ideXlab platform
Marek Domanski - One of the best experts on this subject based on the ideXlab platform.
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efficient hybrid video coders with spatial and Temporal Scalability
International Conference on Multimedia and Expo, 2002Co-Authors: Marek Domanski, S Makowiak, L Blaszak, Adam LuczakAbstract:The paper deals with an efficient coder structure being appropriate for scalable coding of video. The coder consists of two motion-compensated hybrid coders with independent motion estimation and compensation. The structure implements spatial Scalability or mixed spatial and Temporal Scalability that can be combined with fine granular SNR Scalability. The encoder exhibits extended capabilities of adaptation to network throughput. The H.263 video coding standard is used as a reference but the results are also applicable to the MPEG-2, MPEG-4 and H.26L systems with minor modifications. The coder exhibits a high level of compatibility with standard H.263 and MPEG 2/4 coders.
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spatio Temporal Scalability for mpeg video coding
IEEE Transactions on Circuits and Systems for Video Technology, 2000Co-Authors: Marek Domanski, Adam Luczak, Slawomir MackowiakAbstract:The existing and standardized solutions for spatial Scalability are not satisfactory, therefore new approaches are very actively being explored. The goal of this paper is to improve spatial Scalability of MPEG-2 for progressive video. In order to avoid problems with too large bitstreams of the base layer produced by some of the hitherto proposed spatially scalable coders, spatio-Temporal Scalability is proposed for video compression systems. It is assumed that a coder produces two bitstreams, where the base-layer bitstream corresponds to pictures with reduced both spatial and Temporal resolution while the enhancement layer bitstream is used to transmit the information needed to retrieve images with full spatial and Temporal resolution. In the base layer, Temporal resolution reduction is obtained by B-frame data partitioning, i.e., by placing each second frame (B-frame) in the enhancement layer. Subband (wavelet) analysis is used to provide spatial decomposition of the signal. Full compatibility with the MPEG-2 standard is ensured in the base layer, as compared to single-layer MPEG-2 encoding at bit rates below 6 Mbits/s, the bitrate overhead for Scalability is less than 15% in most cases.
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spatio Temporal Scalability using modified mpeg 2 predictive video coding
European Signal Processing Conference, 2000Co-Authors: Adam Luczak, Slawomir Mackowiak, Marek DomanskiAbstract:The paper describes spatio-Temporally scalable MPEG video coders proposed. Such an encoder produces two bitstreams: base layer bitstream which represents a video sequence with low spatial and Temporal resolution and an enhancement layer bitstream which provides additional data needed for reproduction of pictures with full resolution and full Temporal frequency. The bitrate overhead measured relative to the single layer MPEG-2 bitstream varies between 2% and 22% for progressive television test sequences. The base layer bitstream constitutes 34–40% of the overall bitstream. The base layer encoder is fully compatible with the MPEG-2 video coding standard. The enhancement layer encoder is a modified version of that used by MPEG-2 for spatial Scalability.
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hybrid coding of video with spatio Temporal Scalability using subband decomposition
European Signal Processing Conference, 1998Co-Authors: Marek Domanski, Adam Luczak, Slawomir Mackowiak, Roger SwierczynskiAbstract:The paper deals with scalable (hierarchical) coding of video at bitrates in the range of about 2–5 Mbps. A practical goal is to obtain comparable bitrates in a base layer and an enhancement layer. The solution proposed in the paper is based on both Temporal and spatial resolution reduction performed for data transmitted in a base layer. Two principal variants are presented: systems with three-dimensional filter banks for spatio-Temporal analysis and systems where some B-frames are allocated to an enhancement layer but subband analysis is purely spatial. The assumption is that a base layer is fully MPEG-2 compatible. Bitstreams related to high spatial frequencies are encoded either using DCT-based MPEG-like coding or a technique that exploits mutual dependencies between low- and high-spatial-frequency subchannels.
Adam Luczak - One of the best experts on this subject based on the ideXlab platform.
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efficient hybrid video coders with spatial and Temporal Scalability
International Conference on Multimedia and Expo, 2002Co-Authors: Marek Domanski, S Makowiak, L Blaszak, Adam LuczakAbstract:The paper deals with an efficient coder structure being appropriate for scalable coding of video. The coder consists of two motion-compensated hybrid coders with independent motion estimation and compensation. The structure implements spatial Scalability or mixed spatial and Temporal Scalability that can be combined with fine granular SNR Scalability. The encoder exhibits extended capabilities of adaptation to network throughput. The H.263 video coding standard is used as a reference but the results are also applicable to the MPEG-2, MPEG-4 and H.26L systems with minor modifications. The coder exhibits a high level of compatibility with standard H.263 and MPEG 2/4 coders.
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spatio Temporal Scalability for mpeg video coding
IEEE Transactions on Circuits and Systems for Video Technology, 2000Co-Authors: Marek Domanski, Adam Luczak, Slawomir MackowiakAbstract:The existing and standardized solutions for spatial Scalability are not satisfactory, therefore new approaches are very actively being explored. The goal of this paper is to improve spatial Scalability of MPEG-2 for progressive video. In order to avoid problems with too large bitstreams of the base layer produced by some of the hitherto proposed spatially scalable coders, spatio-Temporal Scalability is proposed for video compression systems. It is assumed that a coder produces two bitstreams, where the base-layer bitstream corresponds to pictures with reduced both spatial and Temporal resolution while the enhancement layer bitstream is used to transmit the information needed to retrieve images with full spatial and Temporal resolution. In the base layer, Temporal resolution reduction is obtained by B-frame data partitioning, i.e., by placing each second frame (B-frame) in the enhancement layer. Subband (wavelet) analysis is used to provide spatial decomposition of the signal. Full compatibility with the MPEG-2 standard is ensured in the base layer, as compared to single-layer MPEG-2 encoding at bit rates below 6 Mbits/s, the bitrate overhead for Scalability is less than 15% in most cases.
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spatio Temporal Scalability using modified mpeg 2 predictive video coding
European Signal Processing Conference, 2000Co-Authors: Adam Luczak, Slawomir Mackowiak, Marek DomanskiAbstract:The paper describes spatio-Temporally scalable MPEG video coders proposed. Such an encoder produces two bitstreams: base layer bitstream which represents a video sequence with low spatial and Temporal resolution and an enhancement layer bitstream which provides additional data needed for reproduction of pictures with full resolution and full Temporal frequency. The bitrate overhead measured relative to the single layer MPEG-2 bitstream varies between 2% and 22% for progressive television test sequences. The base layer bitstream constitutes 34–40% of the overall bitstream. The base layer encoder is fully compatible with the MPEG-2 video coding standard. The enhancement layer encoder is a modified version of that used by MPEG-2 for spatial Scalability.
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hybrid coding of video with spatio Temporal Scalability using subband decomposition
European Signal Processing Conference, 1998Co-Authors: Marek Domanski, Adam Luczak, Slawomir Mackowiak, Roger SwierczynskiAbstract:The paper deals with scalable (hierarchical) coding of video at bitrates in the range of about 2–5 Mbps. A practical goal is to obtain comparable bitrates in a base layer and an enhancement layer. The solution proposed in the paper is based on both Temporal and spatial resolution reduction performed for data transmitted in a base layer. Two principal variants are presented: systems with three-dimensional filter banks for spatio-Temporal analysis and systems where some B-frames are allocated to an enhancement layer but subband analysis is purely spatial. The assumption is that a base layer is fully MPEG-2 compatible. Bitstreams related to high spatial frequencies are encoded either using DCT-based MPEG-like coding or a technique that exploits mutual dependencies between low- and high-spatial-frequency subchannels.
Rik Van De Walle - One of the best experts on this subject based on the ideXlab platform.
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fast mode decision algorithm for h 264 avc to svc transcoding with Temporal Scalability
Lecture Notes in Computer Science, 2012Co-Authors: Rosario Garridocantos, Pedro Cuenca, Jan De Cock, A Garrido, Sebastiaan Van Leuven, Rik Van De WalleAbstract:Scalable Video Coding (SVC) uses a notion of layers within the encoded bitstream for providing Temporal, spatial and quality Scalability, separately or combined. By truncating layers the bitstream can be adapted to devices with different characteristics and to varying network constraints. Since the majority of the existing video content is encoded using H.264/AVC without Scalability, they cannot benefit from these Scalability tools, so a transcoding process should be applied to provide Scalability to this existing encoded content. In this paper, an algorithm based on Machine Learning techniques for Temporal Scalability transcoding from H.264/AVC to SVC focusing on mode decision task is discussed. The results show that when our technique is applied, the complexity is reduced by 82% while maintaining coding efficiency.
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on the impact of the gop size in an h 264 avc to svc transcoder with Temporal Scalability
Advances in Mobile Multimedia, 2010Co-Authors: Rosario Garridocantos, Pedro Cuenca, Jan De Cock, J.l. Martinez, A Garrido, Sebastiaan Van Leuven, Rik Van De WalleAbstract:Scalable Video Coding (SVC) is a recent extension of the ISO/ITU Advanced Video Coding (H.264/AVC) standard, which allows adapting the bitstream easily by dropping some parts of it named as layers. This adaptation makes possible that the same bitstream meets the requirements for reliable delivery of video to diverse clients over heterogeneous networks using Temporal, spatial or SNR Scalability, combined or separately. Since the SVC design requires Scalability to be provided at the encoder side, the existing contents cannot benefit of it. Efficient techniques for converting contents without Scalability to a scalable format are desirable. In this paper, an approach for Temporal Scalability transcoding from H.264/AVC to SVC is presented and the impact of the GOP size is analyzed. Independently of the GOP size chosen, around a 60% of time saving is achieved while maintaining the coding efficiency. Moreover, this technique could be used to transform an H.264/AVC bitstream without Temporal Scalability to another H.264/AVC bitstream with hierarchical structures that provides Temporal Scalability.
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MoMM - On the impact of the GOP size in an H.264/AVC-to-SVC transcoder with Temporal Scalability
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia - MoMM '10, 2010Co-Authors: Rosario Garrido-cantos, Pedro Cuenca, A Garrido, Jan De Cock, J.l. Martinez, Sebastiaan Van Leuven, Rik Van De WalleAbstract:Scalable Video Coding (SVC) is a recent extension of the ISO/ITU Advanced Video Coding (H.264/AVC) standard, which allows adapting the bitstream easily by dropping some parts of it named as layers. This adaptation makes possible that the same bitstream meets the requirements for reliable delivery of video to diverse clients over heterogeneous networks using Temporal, spatial or SNR Scalability, combined or separately. Since the SVC design requires Scalability to be provided at the encoder side, the existing contents cannot benefit of it. Efficient techniques for converting contents without Scalability to a scalable format are desirable. In this paper, an approach for Temporal Scalability transcoding from H.264/AVC to SVC is presented and the impact of the GOP size is analyzed. Independently of the GOP size chosen, around a 60% of time saving is achieved while maintaining the coding efficiency. Moreover, this technique could be used to transform an H.264/AVC bitstream without Temporal Scalability to another H.264/AVC bitstream with hierarchical structures that provides Temporal Scalability.
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description based substitution methods for emulating Temporal Scalability in state of the art video coding formats
Workshop on Image Analysis for Multimedia Interactive Services, 2006Co-Authors: Wesley De Neve, Peter Lambert, Davy De Schrijver, Dieter Van De Walle, Rik Van De WalleAbstract:MPEG-21 BSDL provides a solution for discovering the structure of a binary media resource to generate its XML description, and for the generation of an adapted media resource using a transformed description. So far, most literature related to XML-driven video content adaptation deals with the exploitation of Temporal Scalability by dropping certain pictures. This paper takes it a step further by focusing on how description-driven exploitation of Temporal Scalability can be realized by replacing coded pictures by placeholder pictures. Such an approach allows for a transparent integration with the systems layer in modern multimedia architectures. Our XML-based replacement technique will be discussed from a high-level point of view for MPEG-{1, 2} Video, MPEG-4 Visual, and SMPTE’s Video Codec 1 (VC-1). A more detailed analysis, including some performance measurements, will be provided for H.264/MPEG-4 AVC as its technical design is the most challenging one.
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using bitstream structure descriptions for the exploitation of multi layered Temporal Scalability in h 264 avc s base specification
Advances in Multimedia, 2005Co-Authors: Wesley De Neve, Davy De Schrijver, Davy Van Deursen, Koen De Wolf, Rik Van De WalleAbstract:In this paper, attention is paid to the automatic generation of XML-based descriptions containing information about the high-level structure of binary multimedia resources. These structural metadata can then be transformed in order to reflect a desired adaptation of a multimedia resource, and can subsequently be used to create a tailored version of the resource in question. Based on this concept, two technologies are presented: MPEG-21 BSDL and a modified version of XFlavor being able to create BSDL compatible output. Their usage is elaborated in more detail with respect to the valid exploitation of multi-layered Temporal Scalability in H.264/MPEG-4 AVC’s base specification, and in particular with a focus on a combined usage of the sub-sequence coding technique and Supplemental Enhancement Information (SEI) messages. Some performance measurements in terms of file sizes and computational times are presented as well.
Mohammad Ghanbari - One of the best experts on this subject based on the ideXlab platform.
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spatio Temporal Scalability based on motion compensated dct Temporal filters
International Conference on Image Processing, 2009Co-Authors: Randa Atta, Rawya Rizk, Mohammad GhanbariAbstract:In this paper, a motion compensated Temporal filtering (MCTF) framework based on the discrete cosine transform (DCT) is proposed and named MCDCT-TF. It is able to employ filters of any length with particular emphasis on 5/3 DCT and 7/4 DCT. The proposed MCDCT-TF and the two-dimensional (2-D) DCT decimation technique are incorporated into H.264/AVC to provide spatio-Temporal Scalability. Compared with the current MCTF schemes such as Haar, and 5/3 wavelet filters, simulation results show that the proposed MCDCT-TF utilizing longer tap DCT filters achieves a significant improvement in coding gain. Moreover, the performance gap between the presented scalable video coding and the single layer H.264/AVC is small. However, the presented spatio-Temporal coding scheme outperforms the spatio-Temporal supported in JSVM.
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spatio Temporal Scalability based motion compensated 3 d subband dct video coding
IEEE Transactions on Circuits and Systems for Video Technology, 2006Co-Authors: Randa Atta, Mohammad GhanbariAbstract:The existing standard video coding schemes support spatial Scalability because of its prospective applications. Unfortunately, spatial scalable codecs produce high bit rate overhead as compared to a single layer coder. In this paper, we propose a spatio-Temporal scalable video coding system based on motion compensated (MC) three-dimensional subband/discrete cosine transform (3-D SBC/DCT). This coder is proposed as a solution to improve the compression performance of spatial Scalability and at the same time to reduce the high bit rate consumption of the base layer. In this system, the Temporal subbands are generated by a novel approach called MC DCT Temporal filtering (MCDCT-TF). The Temporal subbands are further spatially decomposed using two-dimensional (2-D) DCT decimation technique . The generated spatio-Temporal subbands are then quantized, entropy encoded, and transmitted along with the motion vectors. Several experiments are carried out on various image sequences to test the performance of the proposed coding scheme. The simulation results show that its performance exceeds that of H263+ single layer, spatial and spatio-Temporal scalable coders.
Pedro Cuenca - One of the best experts on this subject based on the ideXlab platform.
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Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting
Telecommunication Systems, 2016Co-Authors: Rosario Garrido-cantos, Sebastiaan Van Leuven, Pedro Cuenca, Jan De Cock, J.l. Martinez, A GarridoAbstract:Mobile digital TV environments demand flexible video compression like scalable video coding (SVC) because of varying bandwidths and devices. Since existing infrastructures highly rely on H.264/AVC video compression, network providers could adapt the current H.264/AVC encoded video to SVC. This adaptation needs to be done efficiently to reduce processing power and operational cost. This paper proposes two techniques to convert an H.264/AVC bitstream in Baseline (P-pictures based) and Main Profile (B-pictures based) without Scalability to a scalable bitstream with Temporal Scalability as part of a framework for low-complexity video adaptation for digital TV broadcasting. Our approaches are based on accelerating the interprediction, focusing on reducing the coding complexity of mode decision and motion estimation tasks of the encoder stage by using information available after the H.264/AVC decoding stage. The results show that when our techniques are applied, the complexity is reduced by 98 % while maintaining coding efficiency.
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Scalable video transcoding for mobile communications
Telecommunication Systems, 2014Co-Authors: Rosario Garrido-cantos, Sebastiaan Van Leuven, Pedro Cuenca, Jan De Cock, J.l. Martinez, A GarridoAbstract:Mobile multimedia contents have been introduced in the market and their demand is growing every day due to the increasing number of mobile devices and the possibility to watch them at any moment in any place. These multimedia contents are delivered over different networks that are visualized in mobile terminals with heterogeneous characteristics. To ensure a continuous high quality it is desirable that this multimedia content can be adapted on-the-fly to the transmission constraints and the characteristics of the mobile devices. In general, video contents are compressed to save storage capacity and to reduce the bandwidth required for its transmission. Therefore, if these compressed video streams were compressed using scalable video coding schemes, they would be able to adapt to those heterogeneous networks and a wide range of terminals. Since the majority of the multimedia contents are compressed using H.264/AVC, they cannot benefit from that Scalability. This paper proposes a technique to convert an H.264/AVC bitstream without Scalability to a scalable bitstream with Temporal Scalability as part of a scalable video transcoder for mobile communications. The results show that when our technique is applied, the complexity is reduced by 98 % while maintaining coding efficiency.
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Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining
EURASIP Journal on Advances in Signal Processing, 2013Co-Authors: Rosario Garrido-cantos, Sebastiaan Van Leuven, Pedro Cuenca, Jan De Cock, J.l. Martinez, A GarridoAbstract:Nowadays, networks and terminals with diverse characteristics of bandwidth and capabilities coexist. To ensure a good quality of experience, this diverse environment demands adaptability of the video stream. In general, video contents are compressed to save storage capacity and to reduce the bandwidth required for its transmission. Therefore, if these compressed video streams were compressed using scalable video coding schemes, they would be able to adapt to those heterogeneous networks and a wide range of terminals. Since the majority of the multimedia contents are compressed using H.264/AVC, they cannot benefit from that Scalability. This paper proposes a low-complexity algorithm to convert an H.264/AVC bitstream without Scalability to scalable bitstreams with Temporal Scalability in baseline and main profiles by accelerating the mode decision task of the scalable video coding encoding stage using machine learning tools. The results show that when our technique is applied, the complexity is reduced by 87% while maintaining coding efficiency.
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on the impact of the gop size in a Temporal h 264 avc to svc transcoder in baseline and main profile
Multimedia Systems, 2013Co-Authors: Rosario Garridocantos, Sebastiaan Van Leuven, Pedro Cuenca, Jan De Cock, J.l. Martinez, A Garrido, Rik Van De WalleAbstract:Scalable video coding is a recent extension of the advanced video coding H.264/AVC standard developed jointly by ISO/IEC and ITU-T, which allows adapting the bitstream easily by dropping parts of it named layers. This adaptation makes it possible for a single bitstream to meet the requirements for reliable delivery of video to diverse clients over heterogeneous networks using Temporal, spatial or quality Scalability, combined or separately. Since the scalable video coding design requires Scalability to be provided at the encoder side, existing content cannot benefit from it. Efficient techniques for converting contents without Scalability to a scalable format are desirable. In this paper, an approach for Temporal Scalability transcoding from H.264/AVC to scalable video coding in baseline and main profile is presented and the impact of the GOP size is analyzed. Independently of the GOP size chosen, time savings of around 63 % for baseline profile and 60 % for main profile are achieved while maintaining the coding efficiency.
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fast mode decision algorithm for h 264 avc to svc transcoding with Temporal Scalability
Lecture Notes in Computer Science, 2012Co-Authors: Rosario Garridocantos, Pedro Cuenca, Jan De Cock, A Garrido, Sebastiaan Van Leuven, Rik Van De WalleAbstract:Scalable Video Coding (SVC) uses a notion of layers within the encoded bitstream for providing Temporal, spatial and quality Scalability, separately or combined. By truncating layers the bitstream can be adapted to devices with different characteristics and to varying network constraints. Since the majority of the existing video content is encoded using H.264/AVC without Scalability, they cannot benefit from these Scalability tools, so a transcoding process should be applied to provide Scalability to this existing encoded content. In this paper, an algorithm based on Machine Learning techniques for Temporal Scalability transcoding from H.264/AVC to SVC focusing on mode decision task is discussed. The results show that when our technique is applied, the complexity is reduced by 82% while maintaining coding efficiency.
