Volume 26 | Issue 11

IEEE Transactions on Circuits and Systems for Video Technology covers all aspects of visual information relating to video or that have the potential to impact future developments in the field of video technology and video systems, including but not limited to:

  1. (a) image/video processing: acquisition, representation, display, processing, transform, filtering, enhancement, restoration, watermarking;
  2. (b) image/video analysis and computer vision: characterization, classification, detection, tracking, assessment, segmentation, summarization, understanding, motion estimation, feature extraction, machine learning, machine intelligence, pattern analysis, pattern recognition, neural networks;
  3. (c) image/video compression: quantization, compression, quality assessment, rate control, error resilience, multiview, standards;
  4. (d) image/video communication: coding, streaming, distribution, interaction, networking, transport, wireless and mobile systems;
  5. (e) image/video storage: archives, networks, content management, databases, indexing, search, retrieval;
  6. (f) image/video hardware/software systems: architecture, hardware, software, multiprocessors, parallel processors, algorithms, VLSI, circuits, high-speed, real-time, low-power systems;
  7. (g) image/video applications: synthetic imaging, augmented imaging, video gaming, virtual reality, audio-visual systems, human-computer interaction, multimedia systems, multi-camera systems, surveillance, security, forensics, medical imaging, big data systems, cloud computing, and other video-related technologies.

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Dan Schonfeld
Editor in Chief - 2016 - 2017
ECE Dept. (M/C 154)
University of Illinois at Chicago (UIC)
851 S. Morgan Street – 1020 SEO
Chicago, Illinois

Dr. Shipeng Li
Deputy Editor-in-Chief
Microsoft Research Asia


Presents the table of contents for this issue of the publication.

Provides a listing of the editorial board, current staff, committee members and society officers.

Merging computer-generated content with real-world visual data is one of the main challenges in fields like augmented reality or visual effects and is increasingly important in broadcasting, gaming, medical, automotive, maintenance, and learning applications. Although augmented reality (AR) has been investigated for a long time, it has recently emerged as a hot topic, with significant commercial... Read more on IEEE Xplore

Offline or deferred solutions are frequently employed for high quality and reliable results in current video stabilization. However, neither of these solutions can be used for strict real-time applications. In this paper, we propose a practical and robust algorithm for real-time video stabilization. To achieve this, a novel and efficient motion model based on inter-frame homography estimation is... Read more on IEEE Xplore

This paper investigates how to fuse grayscale and thermal video data for detecting foreground objects in challenging scenarios. To this end, we propose an intuitive yet effective method called weighted low-rank decomposition (WELD), which adaptively pursues the cross-modality low-rank representation. Specifically, we form two data matrices by accumulating sequential frames from the grayscale and... Read more on IEEE Xplore