The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform
Giancarlo Calvagno - One of the best experts on this subject based on the ideXlab platform.
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ISCCSP - Reliable 3D video P2P transmission enabling synthesis of virtual views
2012 5th International Symposium on Communications Control and Signal Processing, 2012Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:Multiple Description Coding (MDC) and Peer-to-Peer transmission protocols prove to be extremely effective in the transmission of multimedia contents for both their robustness and flexibility. As a matter of fact, they permit building efficient architectures for the transmission of three-dimensional video signals. The paper presents an MDC strategy for the transmission of 3D video signals consisting in multiple views and depth signals. The coded data are included in a matrix and FEC Reed-Solomon codes are then employed to generate a set of descriptions that are to be uploaded in the network by different peers. Packet classification strategies can affect the quality of the Reconstructed 3D video Sequence. As a matter of fact, different packet scheduling algorithms are compared under general transmission scenarios. Experimental results show that a classification strategy based on game theory improves the quality of the Reconstructed Sequence with respect to standard algorithms.
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ISCC - 3DTV streaming over Peer-to-Peer networks using FEC-based noncooperative multiple description
2011 IEEE Symposium on Computers and Communications (ISCC), 2011Co-Authors: Simone Milani, M. Gaggio, Giancarlo CalvagnoAbstract:Recent works have shown how Multiple Description Coding (MDC) and Peer-to-Peer transmission protocols prove to be extremely helpful in streaming video Sequences. The quality of the Reconstructed Sequence can be significantly improved by differentiating the Quality-of-Service levels via distributed packet classifications performed by each peer independently. The packet labelling can be modelled via noncooperative games where the different uploading nodes are players/descriptions competing for the available network resources. The paper shows how this framework can be effectively employed for the transmission of 3D video Sequences adopting an FEC-based multiple description scheme that encapsulates different kinds of data streams (color information, geometry) into a set of equally-important packets. Experimental results show that the classification strategy based on game theory improves the quality of the Reconstructed Sequence with respect to standard classification strategies.
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AVSTP2P@MM - Improving quality-of-experience for multiple description video transmission in peer-to-peer networks
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking - AVSTP2P '10, 2010Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:Recent works have shown how the transmission of multimedia data over Peer-to-Peer networks is significantly improved by the adoption of Multiple Description Coding (MDC) techniques. However, the performance of these schemes can be significantly enhanced by differentiating the Quality-of-Service levels for the transmitted data in order to grant intra-stream and inter-stream diversities among the loss patterns affecting the different descriptions. The paper presents a classification algorithm that addresses a four description MDC scheme and adopts an optimization strategy based on modelling the transmission of packets like a noncooperative game. Different peers are considered as independent players competing for the network resources. The proposed approach improves the quality of the Reconstructed Sequence without the need of a coordinating node or message passing between the uploading peers.
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ICIP - A game theory based classification for distributed downloading of multiple description coded video
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:Recent works have shown how Multiple Description Coding (MDC) proves to be an effective solution for the multimedia transmission over Peer-to-Peer and Content Delivery Networks. However, despite the flexibility and scalability of these novel transmission paradigms, packet streams are still affected by losses, and an effective packet labelling that differentiates the QoS levels for the transmitted data is required. The paper presents a Game Theory based approach to classify the MDC coded video packets that are downloaded from a set of terminals spread throughout the network. The proposed approach improves the quality of the Reconstructed Sequence with limited feedback information from the network.
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A low-complexity rate allocation algorithm for joint source-channel video coding
Signal Processing: Image Communication, 2009Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:The problem of enabling robust video transmission over lossy networks has become increasingly important because of the growing interest in video delivery over unreliable channels such as wireless networks. The more the coding process relies on an intensive use of prediction to improve the coding gain, the more the Reconstructed Sequence proves to be sensitive to information losses. As a matter of fact, it is necessary to introduce some redundant data in order to increase the robustness of the coded bit stream. A possible solution can be found filling a matrix structure with RTP packets and applying a Forward Error Correction (FEC) code on its rows. However, the matrix size and the chosen FEC code affect the performance of the coding system. The paper proposes a novel adaptation technique that tunes the amount of redundant information included in the packet stream and differs from previously proposed solutions since it relies on the percentage of null quantized transform coefficients in place of the activity or the Mean Square Error (MSE). This strategy is then integrated in a joint source-channel coder rate allocation algorithm that shares the available bits between the H.264/AVC coder and the channel coder according to the significance of the frame in the decoding process. Experimental results show that the presented approach significantly improves the quality of the Reconstructed Sequences at the decoder with respect to activity-based strategies and requires a low computational complexity.
Simone Milani - One of the best experts on this subject based on the ideXlab platform.
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ISCCSP - Reliable 3D video P2P transmission enabling synthesis of virtual views
2012 5th International Symposium on Communications Control and Signal Processing, 2012Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:Multiple Description Coding (MDC) and Peer-to-Peer transmission protocols prove to be extremely effective in the transmission of multimedia contents for both their robustness and flexibility. As a matter of fact, they permit building efficient architectures for the transmission of three-dimensional video signals. The paper presents an MDC strategy for the transmission of 3D video signals consisting in multiple views and depth signals. The coded data are included in a matrix and FEC Reed-Solomon codes are then employed to generate a set of descriptions that are to be uploaded in the network by different peers. Packet classification strategies can affect the quality of the Reconstructed 3D video Sequence. As a matter of fact, different packet scheduling algorithms are compared under general transmission scenarios. Experimental results show that a classification strategy based on game theory improves the quality of the Reconstructed Sequence with respect to standard algorithms.
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ICASSP - Video codec identification
2012 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2012Co-Authors: Paolo Bestagini, Simone Milani, Ahmed A. Allam, Marco Tagliasacchi, Stefano TubaroAbstract:Video content is routinely acquired and distributed in digital format. Therefore, it is customary to have the content encoded multiple times. In this paper we consider a processing chain of two coding steps and we propose a method that aims at identifying the type of codec used in the first step, by analyzing its coding-based footprints. The method relies on the fact that lossy coding is an almost idempotent operation, i.e., re-encoding the Reconstructed Sequence with the same codec and coding parameters produces a Sequence that is highly correlated with the input one. As a conSequence, it is possible to analyze this sort of correlation to identify the first codec provided that the second codec does not introduce severe quality degradation. The proposed solution finds several applications in the field of multi-media forensics, e.g. to identify the device that generated the original video stream or detect collages of different Sequences.
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ISCC - 3DTV streaming over Peer-to-Peer networks using FEC-based noncooperative multiple description
2011 IEEE Symposium on Computers and Communications (ISCC), 2011Co-Authors: Simone Milani, M. Gaggio, Giancarlo CalvagnoAbstract:Recent works have shown how Multiple Description Coding (MDC) and Peer-to-Peer transmission protocols prove to be extremely helpful in streaming video Sequences. The quality of the Reconstructed Sequence can be significantly improved by differentiating the Quality-of-Service levels via distributed packet classifications performed by each peer independently. The packet labelling can be modelled via noncooperative games where the different uploading nodes are players/descriptions competing for the available network resources. The paper shows how this framework can be effectively employed for the transmission of 3D video Sequences adopting an FEC-based multiple description scheme that encapsulates different kinds of data streams (color information, geometry) into a set of equally-important packets. Experimental results show that the classification strategy based on game theory improves the quality of the Reconstructed Sequence with respect to standard classification strategies.
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AVSTP2P@MM - Improving quality-of-experience for multiple description video transmission in peer-to-peer networks
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking - AVSTP2P '10, 2010Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:Recent works have shown how the transmission of multimedia data over Peer-to-Peer networks is significantly improved by the adoption of Multiple Description Coding (MDC) techniques. However, the performance of these schemes can be significantly enhanced by differentiating the Quality-of-Service levels for the transmitted data in order to grant intra-stream and inter-stream diversities among the loss patterns affecting the different descriptions. The paper presents a classification algorithm that addresses a four description MDC scheme and adopts an optimization strategy based on modelling the transmission of packets like a noncooperative game. Different peers are considered as independent players competing for the network resources. The proposed approach improves the quality of the Reconstructed Sequence without the need of a coordinating node or message passing between the uploading peers.
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ICIP - A game theory based classification for distributed downloading of multiple description coded video
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Co-Authors: Simone Milani, Giancarlo CalvagnoAbstract:Recent works have shown how Multiple Description Coding (MDC) proves to be an effective solution for the multimedia transmission over Peer-to-Peer and Content Delivery Networks. However, despite the flexibility and scalability of these novel transmission paradigms, packet streams are still affected by losses, and an effective packet labelling that differentiates the QoS levels for the transmitted data is required. The paper presents a Game Theory based approach to classify the MDC coded video packets that are downloaded from a set of terminals spread throughout the network. The proposed approach improves the quality of the Reconstructed Sequence with limited feedback information from the network.
Marc Antonini - One of the best experts on this subject based on the ideXlab platform.
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Technical Section: Temporal wavelet-based compression for 3D animated models
Computers & Graphics, 2007Co-Authors: Frédéric Payan, Marc AntoniniAbstract:We present an efficient compression scheme for animated Sequences of triangular meshes of the same connectivity. The proposed algorithm exploits the temporal coherence of the geometry component by using a temporal wavelet filtering. The quantization of the resulting wavelet coefficients is then optimized by a bit allocation process. This process dispatches the bit budget across the coefficient subbands according to their influence on the quality of the Reconstructed Sequence for one specific user-given bitrate. The proposed scheme is simple, fast, flexible, and scalable in frame rate and bitrate. Moreover, simulation results show that our approach is competitive for any kind of animated models, whatever the characteristics (parametrically coherent or not, fine/coarse meshes...), contrary to the related works.
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Temporal Wavelet-based Geometry Coder for 3D Animated models
Computers and Graphics, 2007Co-Authors: Frédéric Payan, Marc AntoniniAbstract:We present an efficient compression scheme for animated Sequences of triangular meshes of the same connectivity. The proposed algorithm exploits the temporal coherence of the geometry component by using a temporal wavelet filtering. The quantization of the resulting wavelet coefficients is then optimized by a bit allocation process. This process dispatches the bit budget across the coefficient subbands according to their influence on the quality of the Reconstructed Sequence for one specific user-given bitrate. The proposed scheme is simple, fast, fexible, and scalable in frame rate and bitrate. Moreover, simulation results show that our approach is competitive for any kind of animated models, whatever their characteristics (contrary to the related works).
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Wavelet-based Compression of 3D Mesh Sequences
2005Co-Authors: Frédéric Payan, Marc AntoniniAbstract:We present an original wavelet-based compression algorithm for Sequences of 3D meshes with fixed connectivity. This algorithm, based on a temporal lifting scheme exploits the high temporal coherence of the geometry of successive frames in order to reduce the information needed to represent the original Sequence. The resulting sets of wavelet coefficients are then optimally quantized by the mean of a bit allocation process. The proposed allocation process allows to dispatch the bit budget across the wavelet Sequences according to their influence on the quality of the Reconstructed Sequence for one specific user-given bitrate. Simulation results show that the proposed algorithm provides better compression performances than some state of the art coders.
Moshe Porat - One of the best experts on this subject based on the ideXlab platform.
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VLBV - On content-based very low bitrate video coding
Visual Content Processing and Representation, 2003Co-Authors: Dmitry Furman, Moshe PoratAbstract:A new approach to video coding based on content activity of Sequences is introduced. We use a three-dimensional generalization of the Discrete Cosine Transform (3D-DCT) to construct a coding system. Exploiting both spatial and temporal redundancies of video Sequences, a very-low bit-rate encoder is developed and analyzed. The human visual system (HVS) characteristics are used to further reduce the bit-rate, achieving a compression ratio of more than 150:1 with good quality of the Reconstructed Sequence, measured as more than 37 db (PSNR). The complexity of the proposed approach is significantly lower than existing systems such as H.263, making it suitable for mobile applications.
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Image Processing: Algorithms and Systems - Three-dimensional DCT-based video compression using activity maps
Image Processing: Algorithms and Systems, 2002Co-Authors: Dmitry Furman, Moshe PoratAbstract:We introduce a new approach to video compression based on the Discrete Cosine Transform (DCT) generalized to 3 dimensions. An efficient tool of 'Activity Map' further exploits the temporal redundancies of video Sequences, providing a very-low bit-rate system. The result is a compression ratio of more than 150:1 with good quality of the Reconstructed Sequence, measured as more than 37 db (PSNR). Although the compression results are comparable with existing methods, such as MPEG or H.263, the complexity of the proposed approach is approximately 90% lower, making it suitable for hand-held systems such as cellular videophones.
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Three-dimensional DCT-based video compression using activity maps
2002Co-Authors: Dmitry Furman, Moshe PoratAbstract:We introduce a new approach to video compression based on the Discrete Cosine Transform (DCT) generalized to 3 dimensions. An efficient tool of 'Activity Map' further exploits the temporal redundancies of video Sequences, providing a very-low bit-rate system. The result is a compression ratio of more than 150:1 with good quality of the Reconstructed Sequence, measured as more than 37 db (PSNR). Although the compression results are comparable with existing methods, such as MPEG or H.263, the complexity of the proposed approach is approximately 90% lower, making it suitable for hand-held systems such as cellular videophones.
Frédéric Payan - One of the best experts on this subject based on the ideXlab platform.
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Technical Section: Temporal wavelet-based compression for 3D animated models
Computers & Graphics, 2007Co-Authors: Frédéric Payan, Marc AntoniniAbstract:We present an efficient compression scheme for animated Sequences of triangular meshes of the same connectivity. The proposed algorithm exploits the temporal coherence of the geometry component by using a temporal wavelet filtering. The quantization of the resulting wavelet coefficients is then optimized by a bit allocation process. This process dispatches the bit budget across the coefficient subbands according to their influence on the quality of the Reconstructed Sequence for one specific user-given bitrate. The proposed scheme is simple, fast, flexible, and scalable in frame rate and bitrate. Moreover, simulation results show that our approach is competitive for any kind of animated models, whatever the characteristics (parametrically coherent or not, fine/coarse meshes...), contrary to the related works.
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Temporal Wavelet-based Geometry Coder for 3D Animated models
Computers and Graphics, 2007Co-Authors: Frédéric Payan, Marc AntoniniAbstract:We present an efficient compression scheme for animated Sequences of triangular meshes of the same connectivity. The proposed algorithm exploits the temporal coherence of the geometry component by using a temporal wavelet filtering. The quantization of the resulting wavelet coefficients is then optimized by a bit allocation process. This process dispatches the bit budget across the coefficient subbands according to their influence on the quality of the Reconstructed Sequence for one specific user-given bitrate. The proposed scheme is simple, fast, fexible, and scalable in frame rate and bitrate. Moreover, simulation results show that our approach is competitive for any kind of animated models, whatever their characteristics (contrary to the related works).
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Wavelet-based Compression of 3D Mesh Sequences
2005Co-Authors: Frédéric Payan, Marc AntoniniAbstract:We present an original wavelet-based compression algorithm for Sequences of 3D meshes with fixed connectivity. This algorithm, based on a temporal lifting scheme exploits the high temporal coherence of the geometry of successive frames in order to reduce the information needed to represent the original Sequence. The resulting sets of wavelet coefficients are then optimally quantized by the mean of a bit allocation process. The proposed allocation process allows to dispatch the bit budget across the wavelet Sequences according to their influence on the quality of the Reconstructed Sequence for one specific user-given bitrate. Simulation results show that the proposed algorithm provides better compression performances than some state of the art coders.