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IEEE Transactions on Circuits and Systems for Video Technology

Issue 9 • Sept. 2015

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Displaying Results 1 - 16 of 16
  • Table of contents

    Publication Year: 2015, Page(s): C1
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  • IEEE Transactions on Circuits and Systems for Video Technology publication information

    Publication Year: 2015, Page(s): C2
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  • Multiscale Dictionary Learning via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing

    Publication Year: 2015, Page(s):1457 - 1468
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2258 KB) | HTML iconHTML

    For sparse signal representation, the sparsity across the scales is a promising yet underinvestigated direction. In this paper, we aim to design a multiscale sparse representation scheme to explore such potential. A multiscale dictionary (MD) structure is designed. A cross-scale matching pursuit algorithm is proposed for multiscale sparse coding. Two dictionary learning methods, cross-scale cooper... View full abstract»

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  • Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams

    Publication Year: 2015, Page(s):1469 - 1479
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8033 KB) | HTML iconHTML

    The need to estimate a particular quantile of a distribution is an important problem that frequently arises in many computer vision and signal processing applications. For example, our work was motivated by the requirements of many semiautomatic surveillance analytics systems that detect abnormalities in close-circuit television footage using statistical models of low-level motion features. In thi... View full abstract»

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  • Automatic Contrast Enhancement Technology With Saliency Preservation

    Publication Year: 2015, Page(s):1480 - 1494
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6258 KB) | HTML iconHTML

    In this paper, we investigate the problem of image contrast enhancement. Most existing relevant technologies often suffer from the drawback of excessive enhancement, thereby introducing noise/artifacts and changing visual attention regions. One frequently used solution is manual parameter tuning, which is, however, impractical for most applications since it is labor intensive and time consuming. I... View full abstract»

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  • Local $N$ -Ary Pattern and Its Extension for Texture Classification

    Publication Year: 2015, Page(s):1495 - 1506
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3125 KB) | HTML iconHTML

    Texture image classification is important in computer vision research. To effectively capture texture patterns, a distinctive feature such as a local binary pattern (LBP) is needed. An LBP is robust against monotonic and gray-scale variations and it computes quickly. Its robustness and speed advantage have made it popular in various texture analysis applications. However, an LBP is sensitive to no... View full abstract»

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  • Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection

    Publication Year: 2015, Page(s):1507 - 1520
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3668 KB) | HTML iconHTML

    This paper introduces a regression method called Privileged Information (PI)-based Conditional Structured Output Regression Forest (RF) for facial point detection. To train RF more efficiently, the method utilizes both PI, that is side information that is available only during training, such as head pose or gender, and shape constraints on the location of the facial points. We propose selection of... View full abstract»

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  • Fast Mode Selection for HEVC Intra-Frame Coding With Entropy Coding Refinement Based on a Transparent Composite Model

    Publication Year: 2015, Page(s):1521 - 1532
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3544 KB) | HTML iconHTML

    In comparison with H.264/Advanced Video Coding, the newest video coding standard, High Efficiency Video Coding (HEVC), improves video coding rate-distortion (RD) performance, but at the price of significant increase in its encoding complexity, especially, in intra-mode decision due to the adoption of more complex block partitions and more candidate intra-prediction modes (IPMs). To reduce the mode... View full abstract»

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  • Fast Motion Estimation Algorithm and Design for Real Time QFHD High Efficiency Video Coding

    Publication Year: 2015, Page(s):1533 - 1544
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4538 KB) | HTML iconHTML

    Motion estimation (ME) in the latest High Efficiency Video Coding standard adopts the quadtree coding structure and up to a 64 × 64 prediction unit (PU) size to improve the coding gain. However, these techniques also have serious design problems regarding the complexity, data dependency, external memory bandwidth, and on-chip buffer size compared with previous standards, especially for real... View full abstract»

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  • Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

    Publication Year: 2015, Page(s):1545 - 1556
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3336 KB) | HTML iconHTML

    In this paper, we propose a method that is able to detect fires by analyzing videos acquired by surveillance cameras. Two main novelties have been introduced. First, complementary information, based on color, shape variation, and motion analysis, is combined by a multiexpert system. The main advantage deriving from this approach lies in the fact that the overall performance of the system significa... View full abstract»

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  • Minimizing Pixel Expansion in Visual Cryptographic Scheme for General Access Structures

    Publication Year: 2015, Page(s):1557 - 1561
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1000 KB) | HTML iconHTML

    Given a secret image S, a set P of n participants and a strong access structure (ΓQual, ΓForb), a visual cryptographic scheme (VCS) for general access structures (GVCS) encodes S into n shares of transparencies such that the participants of each qualified set in ΓQual can reveal S by superimposing their shares; whereas those of any forbidden set in 9... View full abstract»

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  • How can you get your idea to market first [advertisement]

    Publication Year: 2015, Page(s): 1562
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  • IEEE Xplore Digital Library [advertisement]

    Publication Year: 2015, Page(s): 1563
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  • IEEE membership can help you reach your personal goals [advertisement]

    Publication Year: 2015, Page(s): 1564
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  • IEEE Circuits and Systems Society Information

    Publication Year: 2015, Page(s): C3
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  • IEEE Transactions on Circuits and Systems for Video Technology information for authors

    Publication Year: 2015, Page(s): C4
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Aims & Scope

The emphasis is focused on, but not limited to:
1. image/video processing
2. image/video analysis and computer vision
3. image/video compression
4. image/video communication
5. image/video storage
6. image/video hardware/software systems
7. image/video applications 

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