Volume 28 | Issue 2

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.

Submit a Manuscript

Visit the TCSVT Independent Publication Site


Dr. Shipeng Li

Editor in Chief 
Microsoft Research Asia

Feng Wu
Deputy Editor-in-Chief
University of Science and Technology of China


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

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

In volume seam carving, i.e., seam carving for 3D cost volume, an optimal seam surface can be derived by graph cuts, resulting from sophisticated graph construction. To date, the graph-cut algorithm is the only solution for volume seam carving. However, it is not suitable for practical use because it incurs a heavy computational load. We propose a multipass dynamic programming (DP)-based approach... Read more on IEEE Xplore

This paper studies the effects of front-end imager parameters on object detection performance and energy consumption. A custom version of histograms of oriented gradient (HOG) features based on 2-b pixel ratios is presented and shown to achieve superior object detection performance for the same estimated energy compared with conventional HOG features. A front-end hardware implementation capable... Read more on IEEE Xplore

In past decades, saliency detection has received increasing attention from computer vision communities, for its potential usage in many vision-related tasks. However, finding representative and discriminative features to accurately locate salient regions from complex scenes remains a challenging problem. Recent research on primary visual cortex (V1) shows that vision neurons are sparsely... Read more on IEEE Xplore