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IEEE Transactions on Circuits and Systems for Video Technology

Issue 10 • Date Oct. 2013

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Displaying Results 1 - 22 of 22
  • Table of contents

    Publication Year: 2013, Page(s): C1
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  • IEEE Transactions on Circuits and Systems for Video Technology publication information

    Publication Year: 2013, Page(s): C2
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  • Illumination-Robust Foreground Detection in a Video Surveillance System

    Publication Year: 2013, Page(s):1637 - 1650
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (983 KB) | HTML iconHTML

    This paper presents a foreground detection algorithm that is robust against illumination changes and noise, and provides a novel and practical choice for intelligent video surveillance systems using static cameras. This paper first introduces an online expectation-maximization algorithm that is developed from a basic batch version to update Gaussian mixture models in real time. Then, a spherical K... View full abstract»

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  • Control-Point Representation and Differential Coding Affine-Motion Compensation

    Publication Year: 2013, Page(s):1651 - 1660
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5874 KB) | HTML iconHTML

    The affine-motion model is able to capture rotation, zooming, and the deformation of moving objects, thereby providing a better motion-compensated prediction. However, it is not widely used due to difficulty in both estimation and efficient coding of its motion parameters. To alleviate this problem, a new control-point representation that favors differential coding is proposed for efficient compre... View full abstract»

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  • Video-Based Tracking, Learning, and Recognition Method for Multiple Moving Objects

    Publication Year: 2013, Page(s):1661 - 1674
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8256 KB) | HTML iconHTML

    This paper presents an extended Markov chain Monte Carlo (MCMC) method for tracking and an extended hidden Markov model (HMM) method for learning/recognizing multiple moving objects in videos with jittering backgrounds. A graphical user interface (GUI) with enhanced usability is also proposed. Previous MCMC and HMM-based methods are known to suffer performance impairments, degraded tracking and re... View full abstract»

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  • Person Re-Identification by Regularized Smoothing KISS Metric Learning

    Publication Year: 2013, Page(s):1675 - 1685
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (899 KB) | HTML iconHTML

    With the rapid development of the intelligent video surveillance (IVS), person re-identification, which is a difficult yet unavoidable problem in video surveillance, has received increasing attention in recent years. That is because computer capacity has shown remarkable progress and the task of person re-identification plays a critical role in video surveillance systems. In short, person re-ident... View full abstract»

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  • Novel Adaptive Algorithm for Intra Prediction With Compromised Modes Skipping and Signaling Processes in HEVC

    Publication Year: 2013, Page(s):1686 - 1694
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (371 KB) | HTML iconHTML

    Up to 35 intra prediction modes are available for each Luma prediction unit in the coming HEVC standard. This can provide more accurate predictions and thereby improve the compression efficiency of intra coding. However, the encoding complexity is thus increased dramatically due to a large number of modes involved in the intra mode decision process. In addition, more overhead bits should be assign... View full abstract»

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  • Robust Background Subtraction for Network Surveillance in H.264 Streaming Video

    Publication Year: 2013, Page(s):1695 - 1703
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7957 KB) | HTML iconHTML Multimedia Media

    The H.264/Advanced Video Coding (AVC) is the industry standard in network surveillance offering the lowest bitrate for a given perceptual quality among any MPEG or proprietary codecs. This paper presents a novel approach for background subtraction in bitstreams encoded in the Baseline profile of H.264/AVC. Temporal statistics of the proposed feature vectors, describing macroblock units in each fra... View full abstract»

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  • Image Denoising Games

    Publication Year: 2013, Page(s):1704 - 1716
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (22230 KB) | HTML iconHTML

    Based on the observation that every small window in a natural image has many similar windows in the same image, the nonlocal denoising methods perform denoising by weighted averaging all the pixels in a nonlocal window and have achieved very promising denoising results. However, the use of fixed parameters greatly limits the denoising performance. Therefore, an important issue in pixel-domain imag... View full abstract»

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  • Toward Optimal Deployment of Cloud-Assisted Video Distribution Services

    Publication Year: 2013, Page(s):1717 - 1728
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (853 KB) | HTML iconHTML

    For Internet video services, the high fluctuation of user demands in geographically distributed regions results in low resource utilizations of traditional content distribution network systems. Due to the capability of rapid and elastic resource provisioning, cloud computing emerges as a new paradigm to reshape the model of video distribution over the Internet, in which resources (such as bandwidt... View full abstract»

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  • Gradient Vector Flow and Grouping-Based Method for Arbitrarily Oriented Scene Text Detection in Video Images

    Publication Year: 2013, Page(s):1729 - 1739
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7669 KB) | HTML iconHTML

    Text detection in videos is challenging due to low resolution and complex background of videos. Besides, an arbitrary orientation of scene text lines in video makes the problem more complex and challenging. This paper presents a new method that extracts text lines of any orientations based on gradient vector flow (GVF) and neighbor component grouping. The GVF of edge pixels in the Sobel edge map o... View full abstract»

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  • Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient

    Publication Year: 2013, Page(s):1740 - 1754
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (50822 KB) | HTML iconHTML

    In this paper, we propose a single image super-resolution and enhancement algorithm using local fractal analysis. If we treat the pixels of a natural image as a fractal set, the image gradient can then be regarded as a measure of the fractal set. According to the scale invariance (a special case of bi-Lipschitz invariance) feature of fractal dimension, we will be able to estimate the gradient of a... View full abstract»

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  • Integrating Orientation Cue With EOH-OLBP-Based Multilevel Features for Human Detection

    Publication Year: 2013, Page(s):1755 - 1766
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1148 KB) | HTML iconHTML

    Detecting pedestrians efficiently and accurately is a fundamental step for many computer vision applications, such as smart cars and robotics. In this paper, we introduce a pedestrian detection system to extract human objectives using an on-board monocular camera. First of all, we use an experiment to demonstrate that the orientation information is critical in human detection. Secondly, the local ... View full abstract»

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  • MESIP: A Configurable and Data Reusable Motion Estimation Specific Instruction-Set Processor

    Publication Year: 2013, Page(s):1767 - 1780
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1285 KB) | HTML iconHTML

    This paper proposes a new motion estimation (ME)-specific instruction-set processor (MESIP) with a novel search scan order with high data reusability, to efficiently implement various advanced ME algorithms. The proposed ME-specific instructions can be selectively used for ME algorithms. The novel data-reusing search scan order, called center biased search scan (CBSS), exploits the symmetry of the... View full abstract»

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  • Optimizing Distributed Source Coding for Interactive Multiview Video Streaming Over Lossy Networks

    Publication Year: 2013, Page(s):1781 - 1794
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (591 KB) | HTML iconHTML

    In interactive multiview video streaming (IMVS), a user observes one view at a time, but can periodically switch to a desired neighboring captured view as the video is played back in time. Previous IMVS works focus on efficient compression techniques that facilitate interactive view switching. In this paper, in addition to the loss-resilient aspect during network streaming we address how to design... View full abstract»

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  • Interactive Stereoscopic Video Conversion

    Publication Year: 2013, Page(s):1795 - 1808
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1563 KB) | HTML iconHTML

    This paper presents a system of converting conventional monocular videos to stereoscopic ones. In the system, an input monocular video is firstly segmented into shots so as to reduce operations on similar frames. An automatic depth estimation method is proposed to compute the depth maps of the video frames utilizing three monocular depth cues - depth-from-defocus, aerial perspective, and motion. F... View full abstract»

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  • Fast Background Subtraction Based on a Multilayer Codebook Model for Moving Object Detection

    Publication Year: 2013, Page(s):1809 - 1821
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (948 KB) | HTML iconHTML

    Moving object detection is an important and fundamental step for intelligent video surveillance systems because it provides a focus of attention for post-processing. A multilayer codebook-based background subtraction (MCBS) model is proposed for video sequences to detect moving objects. Combining the multilayer block-based strategy and the adaptive feature extraction from blocks of various sizes, ... View full abstract»

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  • Open Access

    Publication Year: 2013, Page(s): 1822
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  • Technology insight on demand on IEEE.tv

    Publication Year: 2013, Page(s): 1823
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  • IEEE Global History Network

    Publication Year: 2013, Page(s): 1824
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  • IEEE Circuits and Systems Society Information

    Publication Year: 2013, Page(s): C3
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  • IEEE Transactions on Circuits and Systems for Video Technology information for authors

    Publication Year: 2013, 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

Managing Editor
Jaqueline Zelkowitz
tcsvt@tcad.polito.it