MULTI-THREADED ARCHITECTURES AND BENCHMARK TESTS FOR REAL-TIME MULTI-VIEW VIDEO DECODING

2009-07-03
Akar, Gözde
TEKALP, AHMET MURAT
3D video based on multi-view representations is becoming widely popular. Real-time encoding/decoding of such video is an important concern as the number and resolution of views increase. We present systematic methods for design and optimization of real-time multi-view video encoding/decoding algorithms using multi-core processors and provide benchmark results. The proposed multi-core decoding architectures are fully compliant with the current JVT-MVC international standard, and enable multi-threaded processing with negligible loss of encoding efficiency. Benchmark results show that multi-core processors and multi-threading decoding is necessary for real-time multi-view video decoding and display.

Suggestions

Architectures for multi-threaded MVC-compliant multi-view video decoding and benchmark tests
Akar, Gözde; Akar, Gözde; Tekalp, A. Murat (Elsevier BV, 2010-06-01)
3D video based on stereo/multi-view representations is becoming widely popular. Real-time encoding/decoding of such video is an important concern as the number and spatial/temporal resolution of views increase. We present a systematic method for design and optimization of multi-threaded multi-view video encoding/decoding algorithms using multi-core processors and provide benchmark results for real-time decoding. The proposed multi-core decoding architectures are compliant with the current MVC extension of H...
Composite Method in Real Time Video Stabilization
Bayrak, Serhat; Ulusoy, İlkay (2009-01-01)
Since digital video stabilization completely performs over the images, if requires exhaustive processing power. Therefore, it is less preferred for real-time applications. Global (background) motion estimation in floating video is the most time consuming part of digital video stabilization. In this work, the load of digital motion estimation is reduced by using mechanical motion sensors, thus, it is shown that digital video stabilization can be used for real-time applications.
Summarizing video: Content, features, and HMM topologies
Yasaroglu, Y; Alatan, Abdullah Aydın (2003-01-01)
An algorithm is proposed for automatic summarization of multimedia content by segmenting digital video into semantic scenes using HMMs. Various multi-modal low-level features are extracted to determine state transitions in HMMs for summarization. Advantage of using different model topologies and observation sets in order to segment different content types is emphasized and verified by simulations. Performance of the proposed algorithm is also compared with a deterministic scene segmentation method. A better...
Automatic eye tracking and intermediate view reconstruction for 3D imaging systems
Bediz, Yusuf; Akar, Gözde; Department of Electrical and Electronics Engineering (2006)
In recent years, the utilization of 3D display systems became popular in many application areas. One of the most important issues in the utilization of these systems is to render the correct view to the observer based on his/her position. In this thesis, we propose and implement a single user view rendering system for autostereoscopic/stereoscopic displays. The system can easily be installed on a standard PC together with an autostereoscopic display or stereoscopic glasses (shutter, polarized, pulfrich, and...
Depth assisted object segmentation in multi-view video
Cigla, Cevahir; Alatan, Abdullah Aydın (2008-01-01)
In this work, a novel and unified approach for multi-view video (MVV) object segmentation is presented. In the first stage, a region-based graph-theoretic color segmentation algorithm is proposed, in which the popular Normalized Cuts segmentation method is improved with some modifications on its graph structure. Segmentation is obtained by recursive bi-partitioning of a weighted graph of an initial over-segmentation mask. The available segmentation mask is also utilized during dense depth map estimation ste...
Citation Formats
G. Akar and A. M. TEKALP, “MULTI-THREADED ARCHITECTURES AND BENCHMARK TESTS FOR REAL-TIME MULTI-VIEW VIDEO DECODING,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53295.