IEEE Transactions on Circuits and Systems for Video Technology

Issue 11 • Nov. 2017

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Displaying Results 1 - 21 of 21
  • Table of contents

    Publication Year: 2017, Page(s):C1 - C4
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  • IEEE Transactions on Circuits and Systems for Video Technology publication information

    Publication Year: 2017, Page(s): C2
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  • Superpixels by Bilateral Geodesic Distance

    Publication Year: 2017, Page(s):2281 - 2293
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (8294 KB) | HTML iconHTML

    We present a novel superpixel generation algorithm based on a new definition of geodesic distance, called bilateral geodesic distance. In contrast to the traditional geodesic distance, the new bilateral geodesic distance of two pixels considers the distance between their positions as well as their color difference. Superpixel generation is essentially a problem of clustering image pixels with resp... View full abstract»

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  • Iterative Weighted Recovery for Block-Based Compressive Sensing of Image/Video at a Low Subrate

    Publication Year: 2017, Page(s):2294 - 2308
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (7509 KB) | HTML iconHTML

    In compressive sensing (CS) of images or videos, a block-based sensing or recovery scheme can facilitate low-cost sampling or recovery in memory and computation. However, its recovery with small block size and small subrate suffers greatly from its lack of information of the measurement data essential to recover a unique solution among many candidates. This study, based on prior knowledge of the s... View full abstract»

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  • A Novel Sketch Attack for H.264/AVC Format-Compliant Encrypted Video

    Publication Year: 2017, Page(s):2309 - 2321
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (4982 KB) | HTML iconHTML

    In this paper, we propose a novel sketch attack for H.264 advanced video coding (H.264/AVC) format-compliant encrypted video. We briefly describe the notion of sketch attack, review the conventional sketch attacks designed for discrete cosine transform (DCT)-based compressed image, and identify their shortcomings when applied to attack compressed video. Specifically, the conventional DCT-based ske... View full abstract»

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  • Fast Optical Flow Estimation Without Parallel Architectures

    Publication Year: 2017, Page(s):2322 - 2332
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2911 KB) | HTML iconHTML

    According to recent results on Middlebury, MPI Sintel, and KITTI benchmarks, the accuracy of optical flow estimation algorithms has been significantly improved. The speed of them, however, has been too slow to meet the requirement of real-time applications. As a result, some parallel architectures (such as FPGA or GPU) have to be used for accelerating. Therefore, reducing the computational cost of... View full abstract»

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  • Object-Level Motion Detection From Moving Cameras

    Publication Year: 2017, Page(s):2333 - 2343
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3688 KB) | HTML iconHTML

    It is important for a moving observer to be able to identify his/her surrounding objects and determine whether these objects are moving or stationary, which is called object-level motion detection. Detecting object-level motion from moving cameras is a difficult problem to solve for collision-free navigation due to the dual motion introduced by the mixture of the camera motion and the object motio... View full abstract»

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  • Motion-Based Temporal Alignment of Independently Moving Cameras

    Publication Year: 2017, Page(s):2344 - 2354
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3801 KB) | HTML iconHTML

    This paper presents a method to establish a nonlinear temporal correspondence between two video sequences captured by cameras independently moving in a dynamic 3D scene. We assume that the 3D spatial poses of the cameras are known for each frame. With predefined trajectory basis, the coefficients of the reconstructed trajectory of a moving scene point reflect the rhythm in motion. A robust rank co... View full abstract»

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  • Open-Contour Tracking Using a New State-Space Model and Nonrigid Motion Training

    Publication Year: 2017, Page(s):2355 - 2366
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (5138 KB) | HTML iconHTML

    Object tracking in a video sequence is usually achieved by tracking the bounding box over the object or the object’s boundary, each of which has somewhat different applications. In this paper, we present a new open-contour tracking algorithm based on a Bayesian framework in which the contour is a part of the object’s boundary. We first propose a new state-space model for the represen... View full abstract»

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  • An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking

    Publication Year: 2017, Page(s):2367 - 2381
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (5336 KB) | HTML iconHTML

    Nonoverlapping multicamera visual object tracking typically consists of two steps: single-camera object tracking (SCT) and inter-camera object tracking (ICT). Most of tracking methods focus on SCT, which happens in the same scene, while for real surveillance scenes, ICT is needed and single-camera tracking methods cannot work effectively. In this paper, we try to improve the overall multicamera ob... View full abstract»

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  • Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model

    Publication Year: 2017, Page(s):2382 - 2394
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2446 KB) | HTML iconHTML

    Tracking multiple targets across nonoverlapping cameras aims at estimating the trajectories of all targets, and maintaining their identity labels consistent while they move from one camera to another. Matching targets from different cameras can be very challenging, as there might be significant appearance variation and the blind area between cameras makes the target’s motion less predictabl... View full abstract»

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  • Support Vector Motion Clustering

    Publication Year: 2017, Page(s):2395 - 2408
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (4328 KB) | HTML iconHTML

    We present a closed-loop unsupervised clustering method for motion vectors extracted from highly dynamic video scenes. Motion vectors are assigned to nonconvex homogeneous clusters characterizing direction, size and shape of regions with multiple independent activities. The proposed method is based on support vector clustering. Cluster labels are propagated over time via incremental learning. The ... View full abstract»

    Open Access
  • Optimal Bit Allocation for CTU Level Rate Control in HEVC

    Publication Year: 2017, Page(s):2409 - 2424
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3284 KB) | HTML iconHTML

    For High Efficiency Video Coding (HEVC), the R– $lambda $ scheme is the latest rate control (RC) scheme, which investigates the relationships among allocated bits, the slope of rate-distortion (R-D) curve $lambda $ , and quantization parameter. Howe... View full abstract»

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  • Segmental Prediction for Video Coding

    Publication Year: 2017, Page(s):2425 - 2436
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3891 KB) | HTML iconHTML

    The emerging standards for screen content coding (SCC) and 3D video coding known as High Efficiency Video Coding (HEVC)-SCC and 3D-HEVC, respectively, have been developed as extensions of HEVC. Compared with camera-captured video, screen content video and depth maps usually contain significantly fewer colors or sample intensities and much sharper edges in a frame. In this paper, a new coding metho... View full abstract»

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  • Merge Mode for Deformable Block Motion Information Derivation

    Publication Year: 2017, Page(s):2437 - 2449
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (4555 KB) | HTML iconHTML

    Motion estimation (ME) plays an important role in most video coding standards since it can improve the coding performance significantly. Block matching ME (BMME) based on translation motion model is employed in both H.264/Advanced Video Coding and High Efficiency Video Coding (HEVC), which assumes that all the pixels in a block undergo the same motion. However, BMME cannot represent the complex mo... View full abstract»

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  • Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization

    Publication Year: 2017, Page(s):2450 - 2460
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (5432 KB) | HTML iconHTML

    Content-based image retrieval (CBIR) shows great significance in clinical decision-making, which explores the visual content of medical images rather than keywords, tags, or descriptions. It provides doctors an image-guided approach to explore relevant cases that could offer doctors instructive reference. Mammogram screening has been known to be widely used in the early stage diagnosis of breast c... View full abstract»

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  • Origami: A 803-GOp/s/W Convolutional Network Accelerator

    Publication Year: 2017, Page(s):2461 - 2475
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3159 KB) | HTML iconHTML

    An ever-increasing number of computer vision and image/video processing challenges are being approached using deep convolutional neural networks, obtaining state-of-the-art results in object recognition and detection, semantic segmentation, action recognition, optical flow, and super resolution. Hardware acceleration of these algorithms is essential to adopt these improvements in embedded and mobi... View full abstract»

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  • Mitigating Silent Data Corruptions in Integer Matrix Products: Toward Reliable Multimedia Computing on Unreliable Hardware

    Publication Year: 2017, Page(s):2476 - 2489
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2101 KB) | HTML iconHTML

    The generic matrix multiply (GEMM) routine comprises the compute and memory-intensive parts of many information retrieval, machine learning, and object recognition systems that process integer inputs. Therefore, it is of paramount importance to ensure that integer GEMM computations remain robust to silent data corruptions (SDCs), which stem from accidental voltage or frequency overscaling, or othe... View full abstract»

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  • Riemannian Alternative Matrix Completion for Image-Based Flame Recognition

    Publication Year: 2017, Page(s):2490 - 2503
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (5575 KB) | HTML iconHTML

    The flame image has important significance in combustion state recognition and judgment, which can be used effectively for control of energy consumption and exhaust emissions. Due to the harsh industrial environments, flame images are usually corrupted by transmission errors or coding issues, which makes the combustion state analysis very challenging. This paper proposes a novel flame combustion s... View full abstract»

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  • Introducing IEEE Collabratec

    Publication Year: 2017, Page(s): 2504
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  • IEEE Circuits and Systems Society Information

    Publication Year: 2017, Page(s): C3
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    Freely Available from IEEE

Aims & Scope

The emphasis is focused on, but not limited to:

1.    Video A/D and D/A
2.    Video Compression Techniques and Signal Processing
3.    Multi-Dimensional Filters and Transforms
4.    High Speed Real-Time* Circuits
5.    Multi-Processors Systems - Hardware and Software
6.    VLSI Architecture and implementation for Video Technology

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dan Schonfeld
Multimedia Communications Laboratory
ECE Dept. (M/C 154)
University of Illinois at Chicago (UIC)
Chicago, IL 60607-7053
tcsvt-eic@tcad.polito.it

Peer Review Support Services
Desiree Noel
IEEE Publishing Operations
d.noel@ieee.org
732-562-2644