(Visual) Data Compression

Data compression is a ubiquitous aspect of modern computing, and particularly important when dealing with video data as this type of data largely dominates global IP traffic. Visual data has evolved drastically away from traditional 2D images and video: current sensor technologies capture reality in unprecedented detail, leading to a high variety in modalities, such as HDR content, 360° video, hyperspectral imaging, point clouds (e.g., from 3D scanners), or light field data (e.g., from plenoptic cameras). Besides this, there is also a larger variety in display/visualization technologies, such as auto-stereoscopic screens, multi-view screens, HMDs, immersive 3D projection systems, or even holographic displays. The result is that one no longer just renders the signal that was captured (which is the case with 2D video coding), and that visual data needs to be processed between capturing and rendering, something that is often coined “computational imaging”.

 

IDLab-MEDIA has an internationally recognized long-standing tradition in video coding as being member of several standardization committees such as MPEG, VQEG, JVT/JCT-VC (H.264/AVC, HEVC, and VVC).  Currently, IDLab-MEDIA is very active in the compression of video, light fields (images and video), image-based virtual reality, and 3D meshes.

 

 

  • Paper Accepted at IEEE ICCE-Berlin 2019: Light Field Image Compression Using Versatile Video Coding (VVC) September 8, 2019 Paper Accepted at IEEE ICCE-Berlin 2019: Light Field Image Compression Using Versatile Video Coding (VVC) Our research paper on light field image compression using the upcoming video coding standard VVC (Versatile Video Coding) has been accepted for presentation at the IEEE International Conference on Consumer Electronics in Berlin, Germany. Light field cameras (or plenoptic cameras) made it possible to not only capture information about the light intensity in a scene, but ...
  • Paper presented at SPIE optics + photonics 2019 August 14, 2019 Paper presented at SPIE optics + photonics 2019 An overview research paper on multi-view HEVC (MV-HEVC) prediction structures for light field video compression was presented during the 2019 SPIE optics + photonics international conference in San Diego, CA. Light field video is a promising technology for delivering the required six-degrees-of-freedom for natural content in virtual reality. Already existing multi-view coding (MVC) and multi-view ...
  • Article accepted for publication in the Journal of Real-Time Image Processing: Pixel-level parallel rendering for images and light fields December 9, 2018 Article accepted for publication in the Journal of Real-Time Image Processing: Pixel-level parallel rendering for images and light fieldsOur article with the title “Highly Parallel Steered Mixture-of-Experts Rendering at Pixel-level for Image and Light Field Data” was recently accepted for publication in the Journal of Real-Time Image Processing. In the specific article we describe our novel image approximation framework namely Steered Mixture-of-Experts (SMoE) and its potential capabilities in coding and streaming higher dimensional image ...
  • Paper accepted at SPIE optics + photonics 2018: Light field video coding September 1, 2018 Paper accepted at SPIE optics + photonics 2018: Light field video codingWe are pleased to announce that our paper “Steered Mixture-of-Experts for Light Field Video Coding” has been accepted.  It will be published in the proceedings of SPIE Optical Engineering and Applications (Applications of Digital Image Processing XLI). The paper has been presented in the SPIE optics + photonics conference, as part of the session on ...
  • Paper accepted at EUSIPCO 2018: Compression of 360° images May 23, 2018 Paper accepted at EUSIPCO 2018: Compression of 360° imagesWe’re happy to announce that our paper “Steered Mixture-of-Experts Approximation of Spherical Image Data” has been accepted for presentation at EUSIPCO 2018! The paper will be presented in the Special Session on Recent Advances in Immersive Imaging Technologies. Steered Mixture-of-Experts (SMoE) is a novel framework for approximating multidimensional image modalities. Our goal is to provide full ...
  • Two papers accepted for PCS 2018! Modeling and Real-Time Rendering of Light Field Video March 31, 2018 Two papers accepted for PCS 2018! Modeling and Real-Time Rendering of Light Field VideoNot one, but both light field video papers got accepted for Picture Coding Symposium 2018! Both papers discuss parts of Steered Mixture-of-Experts (SMoE). The main take-away messages are that We are able to model and approximate 5-D light field videos up to high objective quality We introduced a effective novel way to model SMoE models: robust and ...
  • Paper accepted at Computer Graphics Forum: 3D mesh compression July 1, 2016 Paper accepted at Computer Graphics Forum: 3D mesh compressionOur paper, “Scalable Feature-Preserving Irregular Mesh Coding”, has been accepted for publication in Computer Graphics Forum and will be presented at the 2017 Eurographics conference in the session on Geometry Processing. This paper presents a novel wavelet-based transform and coding scheme for irregular meshes. The transform preserves geometric features at lower resolutions by adaptive vertex sampling ...
  • Thomas Sikora of TU Berlin receives Google Faculty Research Award – recognition of joint work with IDLab-MEDIA (UGent-imec) February 2, 2016 Prof. Thomas Sikora of Technical University Berlin received one of the prestigious 2016 Faculty Research Awards in the area of Machine Perception. The award was given to TU Berlin to assist future work on Steered Mixtures-of-Experts (SMoE) for Video Coding. The award is also a recognition of the fruitful collaboration between the Communication Systems Lab ...
  • Highly Commended Student Paper Award at Picture Coding Symposium – PCS 2015 June 21, 2015 We are happy to announce that we won the Highly Commended Student Paper awards at Picture Coding Symposium 2015!   The awarded paper can be downloaded here: “Lossless image compression based on Kernel least mean squares” This paper introduces a novel approach for coding luminance images using kernel-based adaptive filtering and context-adaptive arithmetic coding. This approach tackles the problem that ...
  • Paper in IEEE Signal Processing Magazine: End-To-End Security for Video Distribution March 13, 2013 Paper in IEEE Signal Processing Magazine: End-To-End Security for Video Distribution This article introduces the reader to the relevant techniques that are needed to implement an end-to-end commutative security system for video distribution. It also presents a practical solution for encryption and watermarking compliant with H.264/Advanced Video Coding (AVC) and the upcoming High Efficiency Video Coding (HEVC) video coding standards. To minimize the overhead and visual ...

View all posts