The Experts below are selected from a list of 12576 Experts worldwide ranked by ideXlab platform
Olivier Deforges - One of the best experts on this subject based on the ideXlab platform.
-
4K Real Time Software Solution of Scalable HEVC for Broadcast Video Application
IEEE Access, 2019Co-Authors: Ronan Parois, Wassim Hamidouche, M. Raulet, Pierre-loup Cabarat, Naty Sidaty, Olivier DeforgesAbstract:Scalable High efficiency Video Coding (SHVC) is the scalable extension of the High Efficiency Video Coding (HEVC) standard. SHVC enables spatial, quality, bit-depth, color gamut and codec scalability. The architecture of the SHVC encoder is based on multiple instances of the HEVC encoder where each instance encodes one Video layer. This architecture offers several advantages of being modular and close to the native HEVC coding block scheme. However, the close-loop SHVC architecture requires the complete decoding of the reference lower-layer frames to decode a higher quality layer, which considerably increases the complexity of both encoder and decoder processes. In this paper, we propose an end-to-end 4K real time SHVC solution, including both software encoder and decoder, for Video broadcast Applications. The SHVC codec relies on low level optimizations for specific Intel x86 platform and parallel processing to speed-up the encoding and decoding processes. The proposed encoder enables a real time processing of 4Kp30 Video in 2x spatial scalability on the 4x10-cores Intel Xeon processor (E5-4627V3) running at 2.6 GHz. In addition, the SHVC decoder enables to decode, respectively, the lower quality layer in full HD (1920x1080p30) resolution, on ARM Neon mobile platform, and the enhancement layer in UHD (3840x2160p30), on a laptop fitted, with 4 cores Intel i7 processor running at 2.7 GHz. Finally, experimental results have shown that the proposed solution can reach a high rate-distortion performance close to the reference SHVC reference software Model (SHM) with a speed-up of 37 and 66 in Intra and Inter coding configurations.
Hui Tang - One of the best experts on this subject based on the ideXlab platform.
-
PCS - View synthesis error analysis for selecting the optimal QP of depth map coding in 3D Video Application
28th Picture Coding Symposium, 2010Co-Authors: Song Ci, Hui TangAbstract:In 3D Video communication, how to select the appropriate quantization parameter (QP) for depth map coding is very important for obtaining the optimal view synthesis quality. This paper first analyzes the depth uncertainty induced two kinds of view synthesis errors, namely the original depth error induced view synthesis error and the depth compression induced view synthesis error, and then proposes a quadratic model to characterize the relationship between the view synthesis quality and the depth quantization step size. The proposed model can find the inflexion point in the curve of the view synthesis quality with the increasing depth quantization step size. Experimental results show that, given the rate constraint for depth map, the proposed model can accurately find the optimal QP for depth map coding.
-
PCS - View synthesis error analysis for selecting the optimal QP of depth map coding in 3D Video Application
28th Picture Coding Symposium, 2010Co-Authors: Song Ci, Hui TangAbstract:In 3D Video communication, how to select the appropriate quantization parameter (QP) for depth map coding is very important for obtaining the optimal view synthesis quality. This paper first analyzes the depth uncertainty induced two kinds of view synthesis errors, namely the original depth error induced view synthesis error and the depth compression induced view synthesis error, and then proposes a quadratic model to characterize the relationship between the view synthesis quality and the depth quantization step size. The proposed model can find the inflexion point in the curve of the view synthesis quality with the increasing depth quantization step size. Experimental results show that, given the rate constraint for depth map, the proposed model can accurately find the optimal QP for depth map coding.
G. De Haan - One of the best experts on this subject based on the ideXlab platform.
-
Circuits, Signals, and Systems - Streaming scratchpad memory organisation for Video Applications.
Circuits Signals and Systems, 2004Co-Authors: A. Beric, Ramanathan Sethuraman, Harm J A M Peters, G. Veldman, J. Van Meerbergen, G. De HaanAbstract:To address the high data bus bandwidth requirements, the principle of locality of reference is exploited in the vast majority of Video processing algorithms. Especially, for Application’s kernels based on motion estimation, it is inevitable to fetch the pixel data from a local storage. However, the Video Application kernel requirements can vary significantly. The technique of data re-organization and folding (extensively used in software to map operations of same type to a single resource in a time-multiplexed fashion) are presented in the context of the design of customized streaming Video scratchpad memories. These techniques transform one scratchpad organization into the another in order to best satisfy the kernel’s requirements and physical design constraints. Three instances of streaming scratchpads suiting different kernel types are designed. Based on the RTL and netlist level simulations, their differences in performance, power dissipation and silicon area are stated.
-
streaming scratchpad memory organisation for Video Applications
Circuits Signals and Systems, 2004Co-Authors: A. Beric, Ramanathan Sethuraman, Harm J A M Peters, G. Veldman, J. Van Meerbergen, G. De HaanAbstract:To address the high data bus bandwidth requirements, the principle of locality of reference is exploited in the vast majority of Video processing algorithms. Especially, for Application’s kernels based on motion estimation, it is inevitable to fetch the pixel data from a local storage. However, the Video Application kernel requirements can vary significantly. The technique of data re-organization and folding (extensively used in software to map operations of same type to a single resource in a time-multiplexed fashion) are presented in the context of the design of customized streaming Video scratchpad memories. These techniques transform one scratchpad organization into the another in order to best satisfy the kernel’s requirements and physical design constraints. Three instances of streaming scratchpads suiting different kernel types are designed. Based on the RTL and netlist level simulations, their differences in performance, power dissipation and silicon area are stated.
Ronan Parois - One of the best experts on this subject based on the ideXlab platform.
-
4K Real Time Software Solution of Scalable HEVC for Broadcast Video Application
IEEE Access, 2019Co-Authors: Ronan Parois, Wassim Hamidouche, M. Raulet, Pierre-loup Cabarat, Naty Sidaty, Olivier DeforgesAbstract:Scalable High efficiency Video Coding (SHVC) is the scalable extension of the High Efficiency Video Coding (HEVC) standard. SHVC enables spatial, quality, bit-depth, color gamut and codec scalability. The architecture of the SHVC encoder is based on multiple instances of the HEVC encoder where each instance encodes one Video layer. This architecture offers several advantages of being modular and close to the native HEVC coding block scheme. However, the close-loop SHVC architecture requires the complete decoding of the reference lower-layer frames to decode a higher quality layer, which considerably increases the complexity of both encoder and decoder processes. In this paper, we propose an end-to-end 4K real time SHVC solution, including both software encoder and decoder, for Video broadcast Applications. The SHVC codec relies on low level optimizations for specific Intel x86 platform and parallel processing to speed-up the encoding and decoding processes. The proposed encoder enables a real time processing of 4Kp30 Video in 2x spatial scalability on the 4x10-cores Intel Xeon processor (E5-4627V3) running at 2.6 GHz. In addition, the SHVC decoder enables to decode, respectively, the lower quality layer in full HD (1920x1080p30) resolution, on ARM Neon mobile platform, and the enhancement layer in UHD (3840x2160p30), on a laptop fitted, with 4 cores Intel i7 processor running at 2.7 GHz. Finally, experimental results have shown that the proposed solution can reach a high rate-distortion performance close to the reference SHVC reference software Model (SHM) with a speed-up of 37 and 66 in Intra and Inter coding configurations.
Song Ci - One of the best experts on this subject based on the ideXlab platform.
-
PCS - View synthesis error analysis for selecting the optimal QP of depth map coding in 3D Video Application
28th Picture Coding Symposium, 2010Co-Authors: Song Ci, Hui TangAbstract:In 3D Video communication, how to select the appropriate quantization parameter (QP) for depth map coding is very important for obtaining the optimal view synthesis quality. This paper first analyzes the depth uncertainty induced two kinds of view synthesis errors, namely the original depth error induced view synthesis error and the depth compression induced view synthesis error, and then proposes a quadratic model to characterize the relationship between the view synthesis quality and the depth quantization step size. The proposed model can find the inflexion point in the curve of the view synthesis quality with the increasing depth quantization step size. Experimental results show that, given the rate constraint for depth map, the proposed model can accurately find the optimal QP for depth map coding.
-
PCS - View synthesis error analysis for selecting the optimal QP of depth map coding in 3D Video Application
28th Picture Coding Symposium, 2010Co-Authors: Song Ci, Hui TangAbstract:In 3D Video communication, how to select the appropriate quantization parameter (QP) for depth map coding is very important for obtaining the optimal view synthesis quality. This paper first analyzes the depth uncertainty induced two kinds of view synthesis errors, namely the original depth error induced view synthesis error and the depth compression induced view synthesis error, and then proposes a quadratic model to characterize the relationship between the view synthesis quality and the depth quantization step size. The proposed model can find the inflexion point in the curve of the view synthesis quality with the increasing depth quantization step size. Experimental results show that, given the rate constraint for depth map, the proposed model can accurately find the optimal QP for depth map coding.
