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IEEE Transactions on Circuits and Systems for Video Technology

Issue 2 • Feb. 2014

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Displaying Results 1 - 21 of 21
  • Table of contents

    Publication Year: 2014, Page(s): C1
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  • IEEE Transactions on Circuits and Systems for Video Technology publication information

    Publication Year: 2014, Page(s): C2
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  • Editor-in-Chief Message

    Publication Year: 2014, Page(s):181 - 182
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  • Introduction of the Deputy Editor-in-Chief and Associate Editors

    Publication Year: 2014, Page(s):183 - 188
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  • Property Analysis of XOR-Based Visual Cryptography

    Publication Year: 2014, Page(s):189 - 197
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB) | HTML iconHTML

    A (k,n) visual cryptographic scheme (VCS) encodes a secret image into n shadow images (printed on transparencies) distributed among n participants. When any k participants superimpose their transparencies on an overhead projector (OR operation), the secret image can be visually revealed by a human visual system without computation. However, the monotone property of OR operation degrades the visual... View full abstract»

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  • Multiscale Saliency Detection Using Random Walk With Restart

    Publication Year: 2014, Page(s):198 - 210
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1614 KB) | HTML iconHTML

    In this paper, we propose a graph-based multiscale saliency-detection algorithm by modeling eye movements as a random walk on a graph. The proposed algorithm first extracts intensity, color, and compactness features from an input image. It then constructs a fully connected graph by employing image blocks as the nodes. It assigns a high edge weight if the two connected nodes have dissimilar intensi... View full abstract»

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  • How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?

    Publication Year: 2014, Page(s):211 - 223
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (12957 KB) | HTML iconHTML

    Spectral regression discriminant analysis (SRDA) has recently been proposed as an efficient solution to large-scale subspace learning problems. There is a tunable regularization parameter in SRDA, which is critical to algorithm performance. However, how to automatically set this parameter has not been well solved until now. So this regularization parameter was only set to be a constant in SRDA, wh... View full abstract»

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  • Adaptive Weight Allocation-Based Subpixel Rendering Algorithm

    Publication Year: 2014, Page(s):224 - 229
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (705 KB) | HTML iconHTML

    In this letter, a new approach is presented for adaptive weight allocation-based subpixel rendering in organic light-emitting diode displays. Subpixel rendering is used to enhance the apparent resolution without changing a pixel structure. Existing methods have blurring and color fringing artifact after subpixel rendering. The proposed method, on the other hand, dynamically controls weights of cur... View full abstract»

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  • A Framework for Making Face Detection Benchmark Databases

    Publication Year: 2014, Page(s):230 - 241
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (952 KB) | HTML iconHTML

    The images in face detection benchmark databases are mostly taken by consumer cameras, and thus are constrained by popular preferences, including a frontal pose and balanced lighting conditions. A good face detector should consider beyond such constraints and work well for other types of images, for example, those captured by a surveillance camera. To overcome such constraints, a framework is prop... View full abstract»

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  • Robust Visual Tracking via Multiple Kernel Boosting With Affinity Constraints

    Publication Year: 2014, Page(s):242 - 254
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (15024 KB) | HTML iconHTML

    We propose a novel algorithm by extending the multiple kernel learning framework with boosting for an optimal combination of features and kernels, thereby facilitating robust visual tracking in complex scenes effectively and efficiently. While spatial information has been taken into account in conventional multiple kernel learning algorithms, we impose novel affinity constraints to exploit the loc... View full abstract»

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  • Voting-Based Directional Interpolation Method and Its Application to Still Color Image Demosaicking

    Publication Year: 2014, Page(s):255 - 262
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (651 KB) | HTML iconHTML

    In this paper, we present a novel color image demosaicking algorithm using a voting-based edge direction detection method and a directional weighted interpolation method. By introducing the voting strategy, the interpolation direction of the center missing color component can be determined accurately. Along the determined interpolation direction, the center missing color component is interpolated ... View full abstract»

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  • Support Local Pattern and its Application to Disparity Improvement and Texture Classification

    Publication Year: 2014, Page(s):263 - 276
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1939 KB) | HTML iconHTML

    The local binary pattern (LBP) and its variants have been widely investigated in many image processing and computer vision applications due to their robust ability to capture local image structures and their computational simplicity. The existing LBPs extract local structure information by establishing a relationship between the central pixel and its adjacent pixels. However, most LBPs miss the re... View full abstract»

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  • Detecting Human Action as the Spatio-Temporal Tube of Maximum Mutual Information

    Publication Year: 2014, Page(s):277 - 290
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1210 KB) | HTML iconHTML

    Human action detection in complex scenes is a challenging problem due to its high-dimensional search space and dynamic backgrounds. To achieve efficient and accurate action detection, we represent a video sequence as a collection of feature trajectories and model human action as the spatio-temporal tube (ST-tube) of maximum mutual information. First, a random forest is built to evaluate the mutual... View full abstract»

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  • Event Detection and Summarization in Soccer Videos Using Bayesian Network and Copula

    Publication Year: 2014, Page(s):291 - 304
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8586 KB) | HTML iconHTML

    Semantic video analysis and automatic concept extraction play an important role in several applications; including content-based search engines, video indexing, and video summarization. As the Bayesian network is a powerful tool for learning complex patterns, a novel Bayesian network-based method is proposed for automatic event detection and summarization in soccer videos. The proposed method incl... View full abstract»

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  • An Overview of Information Hiding in H.264/AVC Compressed Video

    Publication Year: 2014, Page(s):305 - 319
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (12054 KB) | HTML iconHTML

    Information hiding refers to the process of inserting information into a host to serve specific purpose(s). In this paper, information hiding methods in the H.264/AVC compressed video domain are surveyed. First, the general framework of information hiding is conceptualized by relating the state of an entity to a meaning (i.e., sequences of bits). This concept is illustrated by using various data r... View full abstract»

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  • A Novel No-Reference PSNR Estimation Method With Regard to Deblocking Filtering Effect in H.264/AVC Bitstreams

    Publication Year: 2014, Page(s):320 - 330
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (10122 KB) | HTML iconHTML

    Peak signal-to-noise ratio (PSNR) monitoring is an important application for video quality assessment of video systems at the receiver sides where no-reference PSNR estimation is essential. Most of the PSNR estimation methods for H.264/AVC bitstreams ignore or do not consider the effect of deblocking filtering. Instead, they only focus on estimating the mean squared error (MSE) due to quantization... View full abstract»

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  • Wireless Scalable Video Coding Using a Hybrid Digital-Analog Scheme

    Publication Year: 2014, Page(s):331 - 345
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (30174 KB) | HTML iconHTML

    Wireless video broadcast/multicast and mobile video communication pose a challenge to the conventional video transmission scheme (which consists of separate digital source coding and digital channel coding). The reason is that the separate coding scheme is based on nonscalable coding design, and this unavoidably leads to cliff effect as well as limits the ability to support multiple users with div... View full abstract»

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  • Geometric Optimum Experimental Design for Collaborative Image Retrieval

    Publication Year: 2014, Page(s):346 - 359
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9004 KB) | HTML iconHTML

    Relevance feedback (RF) schemes have been widely designed to improve the performance of content-based image retrieval. Despite the success, it is not appropriate to require the user to label a large number of samples in RF. Collaborative image retrieval (CIR) aims to reduce the labeling efforts of the user by resorting to the auxiliary information. Support vector machine (SVM) active learning can ... View full abstract»

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  • Open Access

    Publication Year: 2014, Page(s): 360
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  • IEEE Circuits and Systems Society Information

    Publication Year: 2014, Page(s): C3
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  • IEEE Transactions on Circuits and Systems for Video Technology information for authors

    Publication Year: 2014, 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