Demo Data from EDBT 2026 / reviewers in the wild / expert
Basel Salahieh
dblp:217/5270
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0003-4154-6344ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Image and video coding · 91% Virtual and augmented reality · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding
immersive video coding |
0.5 | 1 | 2021 | MPEG Immersive Video Coding Standard · Proc. IEEE 2021 |
Image and video coding › point cloud compression
video-based point cloud compression |
0.5 | 1 | 2021 | MPEG Immersive Video Coding Standard · Proc. IEEE 2021 |
Image and video coding › immersive video coding
volumetric video compression |
0.5 | 1 | 2021 | MPEG Immersive Video Coding Standard · Proc. IEEE 2021 |
Virtual and augmented reality › immersive video
6dof video |
0.1 | 1 | 2021 | MPEG Immersive Video Coding Standard · Proc. IEEE 2021 |
Methods — techniques the papers use, named apart from their topics
patch-based coding · 0.5atlas packing · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive VideoabstractThis paper presents the overview and rationale behind the Decoder-Side Depth Estimation (DSDE) mode of the MPEG Immersive Video (MIV) standard, using the Geometry Absent profile, for efficient compression of immersive multiview video. A MIV bitstream generated by an encoder operating in the DSDE mode does not include depth maps. It only contains the information required to reconstruct them in the client or in the cloud: decoded views and metadata. The paper explains the technical details and techniques supported by this novel MIV DSDE mode. The description additionally includes the specification on Geometry Assistance Supplemental Enhancement Information which helps to reduce the complexity of depth estimation, when performed in the cloud or at the decoder side. The depth estimation in MIV is a non-normative part of the decoding process, therefore, any method can be used to compute the depth maps. This paper lists a set of requirements for depth estimation, induced by the specific characteristics of the DSDE. The depth estimation reference software, continuously and collaboratively developed with MIV to meet these requirements, is presented in this paper. Several original experimental results are presented. The efficiency of the DSDE is compared to two MIV profiles. The combined non-transmission of depth maps and efficient coding of textures enabled by the DSDE leads to efficient compression and rendering quality improvement compared to the usual encoder-side depth estimation. Moreover, results of the first evaluation of state-of-the-art multiview depth estimators in the DSDE context, including machine learning techniques, are presented. Dawid Mieloch, Patrick Garus, Marta Milovanovic, Joël Jung, Jun Young Jeong, Smitha Lingadahalli Ravi, Basel Salahieh |
IEEE Trans. Circuits Syst. Video Technol. | 7 |
| 2021 | MPEG Immersive Video Coding StandardabstractThis article introduces the ISO/IEC MPEG Immersive Video (MIV) standard, MPEG-I Part 12, which is undergoing standardization. The draft MIV standard provides support for viewing immersive volumetric content captured by multiple cameras with six degrees of freedom (6DoF) within a viewing space that is determined by the camera arrangement in the capture rig. The bitstream format and decoding processes of the draft specification along with aspects of the Test Model for Immersive Video (TMIV) reference software encoder, decoder, and renderer are described. The use cases, test conditions, quality assessment methods, and experimental results are provided. In the TMIV, multiple texture and geometry views are coded as atlases of patches using a legacy 2-D video codec, while optimizing for bitrate, pixel rate, and quality. The design of the bitstream format and decoder is based on the visual volumetric video-based coding (V3C) and video-based point cloud compression (V-PCC) standard, MPEG-I Part 5. Jill M. Boyce, Renaud Doré, Adrian Dziembowski, Julien Fleureau, Joël Jung, Bart Kroon, Basel Salahieh, Vinod Kumar Malamal Vadakital, Lu Yu 0003 |
Proc. IEEE | 7 |
| 2019 | Multi-Pass Renderer in MPEG Test Model for Immersive VideoabstractMPEG is developing an immersive video coding standard aims to deliver 6DoF (degrees of freedom) visual experience enabling motion parallax and omnidirectional viewing capabilities. A reference software has been made available to implement the immersive standard. To make it robust for various immersive content and deliver sharper synthesis with suppressed artifacts, a multi-pass add-on tool has been implemented for rendering at the decoder side. The tool runs view synthesis multiple times with different selection of views or patches of views in each pass based on the distance to the desired viewing position and orientation and merges the intermediate synthesized views to output a coherent and complete desired view. We share the multi-pass rendering results operating on whole views or on atlases (i.e. collection of patches from views) and compare them to the traditional single-pass synthesis results. We report significant subjective and objective improvements (1.7 ~ 4.2 dB gain in PSNR) for the multi-pass technique in the whole views case while having its synthesis results being atlas-dependent in the immersive coding case. Basel Salahieh, Sumit Bhatia, Jill M. Boyce |
PCS | 1 |