5 research outputs found
3D coding tools final report
Livrable D4.3 du projet ANR PERSEECe rapport a été réalisé dans le cadre du projet ANR PERSEE (n° ANR-09-BLAN-0170). Exactement il correspond au livrable D4.3 du projet. Son titre : 3D coding tools final repor
Disparity compensation using geometric transforms
This dissertation describes the research and development of some techniques to enhance
the disparity compensation in 3D video compression algorithms. Disparity compensation
is usually performed using a block matching technique between views, disregarding the
various levels of disparity present for objects at different depths in the scene. An alternative
coding scheme is proposed, taking advantage of the cameras setup information and
the object’s depth in the scene, to compensate more complex spatial distortions, being
able to improve disparity compensation even with convergent cameras.
In order to perform a more accurate disparity compensation, the reference picture
list is enriched with additional geometrically transformed images, for the most relevant
object’s levels of depth in the scene, resulting from projections of one view to another.
This scheme can be implemented in any state-of-the-art video codec, as H.264/AVC or
HEVC, in order to improve the disparity matching accuracy between views.
Experimental results, using MV-HEVC extension, show the efficiency of the proposed
method for coding stereo video, presenting bitrate savings up to 2.87%, for convergent
camera sequences, and 1.52% for parallel camera sequences. Also a method to choose
the geometrically transformed inter view reference pictures was developed, in order to
reduce unnecessary overhead for unused reference pictures. By selecting and adding to
the reference picture list, only the most useful pictures, all results improved, presenting
bitrate savings up to 3.06% for convergent camera sequences, and 2% for parallel camera
sequences
High-Level Synthesis Based VLSI Architectures for Video Coding
High Efficiency Video Coding (HEVC) is state-of-the-art video coding standard. Emerging applications like free-viewpoint video, 360degree video, augmented reality, 3D movies etc. require standardized extensions of HEVC. The standardized extensions of HEVC include HEVC Scalable Video Coding (SHVC), HEVC Multiview Video Coding (MV-HEVC), MV-HEVC+ Depth (3D-HEVC) and HEVC Screen Content Coding. 3D-HEVC is used for applications like view synthesis generation, free-viewpoint video. Coding and transmission of depth maps in 3D-HEVC is used for the virtual view synthesis by the algorithms like Depth Image Based Rendering (DIBR). As first step, we performed the profiling of the 3D-HEVC standard. Computational intensive parts of the standard are identified for the efficient hardware implementation. One of the computational intensive part of the 3D-HEVC, HEVC and H.264/AVC is the Interpolation Filtering used for Fractional Motion Estimation (FME). The hardware implementation of the interpolation filtering is carried out using High-Level Synthesis (HLS) tools. Xilinx Vivado Design Suite is used for the HLS implementation of the interpolation filters of HEVC and H.264/AVC. The complexity of the digital systems is greatly increased. High-Level Synthesis is the methodology which offers great benefits such as late architectural or functional changes without time consuming in rewriting of RTL-code, algorithms can be tested and evaluated early in the design cycle and development of accurate models against which the final hardware can be verified