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Circuits and Systems for Video Technology, IEEE Transactions on

Issue 2 • Date Feb. 2010

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Displaying Results 1 - 24 of 24
  • Table of contents

    Publication Year: 2010 , Page(s): C1
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  • IEEE Transactions on Circuits and Systems for Video Technology publication information

    Publication Year: 2010 , Page(s): C2
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  • Editorial Message From the Outgoing Editor-in-Chief

    Publication Year: 2010 , Page(s): 165
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  • Introduction to the Deputy-Editor-in-Chief

    Publication Year: 2010 , Page(s): 166
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  • Introduction of the TCSVT Associate Editors

    Publication Year: 2010 , Page(s): 167 - 171
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  • Robust Tensor Analysis With L1-Norm

    Publication Year: 2010 , Page(s): 172 - 178
    Cited by:  Papers (34)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (699 KB) |  | HTML iconHTML  

    Tensor analysis plays an important role in modern image and vision computing problems. Most of the existing tensor analysis approaches are based on the Frobenius norm, which makes them sensitive to outliers. In this paper, we propose L1-norm-based tensor analysis (TPCA-L1), which is robust to outliers. Experimental results upon face and other datasets demonstrate the advantages of the proposed approach. View full abstract»

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  • 3-D Mesh Geometry Compression With Set Partitioning in the Spectral Domain

    Publication Year: 2010 , Page(s): 179 - 188
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (689 KB) |  | HTML iconHTML  

    This paper explains the development of a highly efficient progressive 3-D mesh geometry coder based on the region adaptive transform in the spectral mesh compression method. A hierarchical set partitioning technique, originally proposed for the efficient compression of wavelet transform coefficients in high-performance wavelet-based image coding methods, is proposed for the efficient compression of the coefficients of this transform. Experiments confirm that the proposed coder employing such a region adaptive transform has a high compression performance rarely achieved by other state of the art 3-D mesh geometry compression algorithms. A new, high-performance fixed spectral basis method is also proposed for reducing the computational complexity of the transform. Many-to-one mappings are employed to relate the coded irregular mesh region to a regular mesh whose basis is used. To prevent loss of compression performance due to the low-pass nature of such mappings, transitions are made from transform-based coding to spatial coding on a per region basis at high coding rates. Experimental results show the performance advantage of the newly proposed fixed spectral basis method over the original fixed spectral basis method in the literature that employs one-to-one mappings. View full abstract»

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  • A Wyner-Ziv Video Transcoder

    Publication Year: 2010 , Page(s): 189 - 200
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1358 KB) |  | HTML iconHTML  

    Wyner-Ziv (WZ) coding of video utilizes simple encoders and highly complex decoders. A transcoder from a WZ codec to a traditional codec can potentially increase the range of applications for WZ codecs. We present a transcoder scheme from the most popular WZ codec architecture to a differential pulse code modulation/discrete cosine transform codec. As a proof of concept, we implemented this transcoder using a simple pixel-domain WZ codec and the standard H.263+. The transcoder design aims at reducing complexity as a large amount of computation is saved by reusing the motion estimation, calculated at the side information generation process, and the l-frame streams. New approaches are used to generate side information and to map motion vectors for the transcoder. Results are presented to demonstrate the transcoder performance. View full abstract»

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  • Fast Mode Decision Using All-Zero Block Detection for Fidelity and Spatial Scalable Video Coding

    Publication Year: 2010 , Page(s): 201 - 206
    Cited by:  Papers (16)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (228 KB) |  | HTML iconHTML  

    In scalable video coding (SVC) as an extension of H.264/advanced video coding (AVC), a computationally expensive exhaustive mode decision is employed to select the best coding mode for each macroblock (MB). In order to reduce computational complexity, we propose a fast mode decision algorithm for SVC which uses an all-zero block (AZB) detection. Based on the empirical analysis of the inter-layer correlation of the AZB, the MB at the enhancement layer (EL) is predicted whether to be the AZB. Then, only predicted MBs are examined by the AZB detection algorithm. Since the mode decision can be terminated by detecting the AZB, we determine the processing order of the candidate modes at the EL in order to terminate the mode decision in the early stage. The proposed algorithm can be combined with other conventional fast mode decision methods in order to further reduce the computational complexity of those methods. Experimental results show that the proposed algorithm can significantly speed up the encoding process, especially for low bit-rate video sequences, without deteriorating the coding efficiency of SVC. View full abstract»

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  • A New Low-Complexity Integer Distortion Estimation Method for H.264/AVC Encoder

    Publication Year: 2010 , Page(s): 207 - 212
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (263 KB) |  | HTML iconHTML  

    In this paper, a new low-complexity distortion estimation method for the H.264 rate-distortion optimized mode decision is proposed. Coding processes, such as discrete cosine transform (DCT), quantization, inverse quantization, inverse DCT, and reconstruction, are needed to compute the distortion in an H.264 encoder. To reduce these computations, we estimate the distortion using coefficients calculated in the quantization process and eliminate the inverse quantization, inverse DCT, and reconstruction processes. In the proposed method, the distortion is computed by integer operations, which is more efficient for the hardware implementation. The simulation results show that the proposed method can reduce the encoding time by about 10% with negligible degradation in the coding performance. View full abstract»

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  • Improved CAVLC for H.264/AVC Lossless Intra-Coding

    Publication Year: 2010 , Page(s): 213 - 222
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (461 KB) |  | HTML iconHTML  

    Context-based adaptive variable length coding (CAVLC) for the H.264/advanced video coding (AVC) standard was originally designed for lossy video coding, and as such does not yield adequate performance for lossless video coding. In this paper, we propose an improved CAVLC for lossless intra-coding by considering the statistical differences in residual data between lossy and lossless coding. From experimental results, we confirm that the proposed method provides approximately 9% bit saving in terms of a compression ratio compared with the current H.264/AVC fidelity range extensions high profile. View full abstract»

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  • Object Tracking in Structured Environments for Video Surveillance Applications

    Publication Year: 2010 , Page(s): 223 - 235
    Cited by:  Papers (27)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1502 KB) |  | HTML iconHTML  

    We present a novel tracking method for effectively tracking objects in structured environments. The tracking method finds applications in security surveillance, traffic monitoring, etc. In these applications, the movements of objects are constrained by structured environments. Therefore, the relationship between objects and environments can be exploited as additional information for improving the performance of tracking. We use the environment state to model the relationship between the objects and environments, and integrate it into the framework of Bayesian tracking. In this paper, distance transform is used to model the environment state, and particle filtering is employed as the paradigm for solving the Bayesian tracking problem. The adaptive dynamics model and environment prior are devised for the particle filter to fully utilize the environment information in the tracking process. Experiments on some video surveillance sequences demonstrate the effectiveness and robustness of our approach for tracking object motions in structured environments. View full abstract»

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  • Integration of Recursive Temporal LMMSE Denoising Filter Into Video Codec

    Publication Year: 2010 , Page(s): 236 - 249
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1625 KB) |  | HTML iconHTML  

    The presence of noise can dramatically affect the efficiency of video compression systems. For performance improvement, most practical video compression systems adopt a denoising filter as a pre-processing module for the video encoder, or as a post-processing module for the video decoder, but the complexity introduced by denoising can be very high. This paper first presents a recursive temporal linear minimum mean squared error (LMMSE) filter for video denoising. Based on the analysis of the hybrid video compression process, two novel schemes are presented, one for video encoding and the other for video decoding, in which the proposed recursive temporal LMMSE filter is seamlessly integrated into the encoding and the decoding processes, respectively. For both of these two schemes, the denoising is implemented with nearly no extra computation introduced. Experimental results validate the effectiveness of the proposed schemes on encoding and decoding noisy video sequences. View full abstract»

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  • Hardware/Software Codesign of a Low-Cost Rate Control Scheme for H.264/AVC

    Publication Year: 2010 , Page(s): 250 - 261
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (879 KB) |  | HTML iconHTML  

    This paper presents a low-complexity rate control (RC) framework for H.264/advanced video coding (AVC) encoders on embedded systems. We consider not only the rate-distortion performance but also its implementation complexity using an efficient hardware/software codesign. The proposed cost-effective macroblock level RC module works in hardware, and the frame-level RC is executed on the system CPU as software. It is less complex than the RC module adopted by H.264/AVC JM reference software, making it more suitable for embedded systems. Experiment results show that the proposed RC outperforms H.264/AVC JM, and the hardware implementation cost is low for an H.264/AVC video encoder. View full abstract»

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  • Efficient Motion Re-Estimation With Rate-Distortion Optimization for MPEG-2 to H.264/AVC Transcoding

    Publication Year: 2010 , Page(s): 262 - 274
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (778 KB) |  | HTML iconHTML  

    One objective in MPEG-2 to H.264/advanced video coding transcoding is to improve the H.264/AVC compression ratio by using more advanced macroblock encoding modes. The motion re-estimation process is by far the most time-consuming process in this type of video transcoding. In this paper, we present an efficient H.264/AVC block size partitioning prediction algorithm for MPEG-2 to H.264/AVC transcoding applications. Our algorithm uses rate-distortion optimization techniques and predicted initial motion vectors to estimate block size partitioning. It is also shown that using block size partitioning smaller than 8 ?? 8 (i.e., 8 ?? 4, 4 ?? 8, and 4 ?? 4) results in negligible compression improvements, and thus these sizes should be avoided in transcoding. Experimental results show that, compared to the state-of-the-art transcoding scheme, our transcoder yields similar rate-distortion performance, while the computational complexity is significantly reduced, requiring an average of 29% of the computations. Compared to the full-search scheme, our proposed algorithm reduces the computational complexity by about 99.47% for standard-definition television sequences and 98.66% for common intermediate format sequences. Compared to UMHexagonS, the fast motion estimation algorithm used in H.264/AVC, the experimental results show that our proposed algorithm is a better trade-off between computational complexity and picture quality. View full abstract»

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  • Adaptive Unicast Video Streaming With Rateless Codes and Feedback

    Publication Year: 2010 , Page(s): 275 - 285
    Cited by:  Papers (17)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (936 KB) |  | HTML iconHTML  

    Video streaming over the Internet and packet-based wireless networks is sensitive to packet loss, which can severely damage the quality of the received video. To protect the transmitted video data against packet loss, application-layer forward error correction (FEC) is commonly used. Typically, for a given source block, the channel code rate is fixed in advance according to an estimation of the packet loss rate. However, since network conditions are difficult to predict, determining the right amount of redundancy introduced by the channel encoder is not obvious. To address this problem, we consider a general framework where the sender applies rateless erasure coding to every source block and keeps on transmitting the encoded symbols until it receives an acknowledgment from the receiver indicating that the block was decoded successfully. Within this framework, we design transmission strategies that aim at minimizing the expected bandwidth usage while ensuring successful decoding subject to an upper bound on the packet loss rate. In real simulations over the Internet, our solution outperformed standard FEC and hybrid automatic repeat request approaches. For the quarter common intermediate format Foreman sequence compressed with the H.264 video coder, the gain in average peak signal to noise ratio over the best previous scheme exceeded 3.5 dB at 90 kb/s. View full abstract»

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  • An Efficient Architecture for 3-D Discrete Wavelet Transform

    Publication Year: 2010 , Page(s): 286 - 296
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (639 KB) |  | HTML iconHTML  

    This paper presents an architecture of the lifting-based running 3-D discrete wavelet transform (DWT), which is a powerful image and video compression algorithm. The proposed design is one of the first lifting based complete 3-D-DWT architectures without group of pictures restriction. The new computing technique based on analysis of lifting signal flow graph minimizes the storage requirement. This architecture enjoys reduced memory referencing and related low power consumption, low latency, and high throughput compared to those of earlier reported works. The proposed architecture has been successfully implemented on Xilinx Virtex-IV series field-programmable gate array, offering a speed of 321 MHz, making it suitable for real-time compression even with large frame dimensions. Moreover, the architecture is fully scalable beyond the present coherent Daubechies filterbank (9, 7). View full abstract»

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  • Fairness Strategies for Wireless Resource Allocation Among Autonomous Multimedia Users

    Publication Year: 2010 , Page(s): 297 - 309
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (507 KB) |  | HTML iconHTML  

    Recent research in wireless multimedia streaming has focused on optimizing the multimedia quality in isolation, at each station. However, the cross-layer transmission strategy deployed at one station impacts and is impacted by the other stations, as the wireless network resource is shared among all competing users. Hence, efficient and fair resource management for autonomous wireless multimedia users becomes very important. We consider quality-based fairness schemes based on axiomatic bargaining theory, which can ensure that the autonomous multimedia stations incur the same drop in multimedia quality as compared to a maximum achievable quality for each wireless station. Implementing this quality-based fairness solution in the time-varying channel condition requires high-computational complexity and communication overheads. Hence, we develop solutions that significantly reduce the computational complexity and communication overheads. Our simulations show that the proposed game-theoretic resource management can indeed guarantee desired utility-fair allocations when wireless stations deploy different cross-layer strategies. View full abstract»

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  • Efficient CABAC Rate Estimation for H.264/AVC Mode Decision

    Publication Year: 2010 , Page(s): 310 - 316
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (145 KB) |  | HTML iconHTML  

    In H.264/AVC coders, the optimal mode decision for each coding unit is achieved based on a calculation of the rate-distortion (R-D) cost for each candidate mode. In this letter, we propose a context-adaptive binary arithmetic coding (CABAC)-based rate estimation scheme that reduces the computational complexity of the R-D cost function evaluation. The complex and time-consuming calculation of the arithmetic coding is replaced by a table lookup based on the proposed CABAC rate model for fast rate estimation. The context modeling part of CABAC is also simplified to accelerate the rate estimation process. The experimental results show that the proposed estimator follows the actual rate with the coefficient of determination R 2 = 0.9997. The proposed estimator yields about a 30% reduction in the computational complexity of the R-D optimized mode decision, thereby accelerating the entire encoder by about 17% to 25% with almost no degradation in the R-D performance. View full abstract»

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  • Chaotic Scan: A Low Complexity Video Transmission System for Efficiently Sending Relevant Image Features

    Publication Year: 2010 , Page(s): 317 - 321
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (478 KB) |  | HTML iconHTML  

    A novel image scanning and transmission system is proposed, where the traditional raster scan is replaced with a new one, called a chaotic scan. The result is a low complexity image transmission system with encryption and spread spectrum capabilities well suited for compressed sensing applications. Due to the uncorrelated nature of the consecutively scanned pixels, it allows a form of progressive compression and fast discovery of the relevant image features using only a small fraction of the transmitted pixels. The key ingredient of the proposed system is a chaotic counter addressing the sensor array, based on a cellular automaton exhibiting a pseudo-random chaotic behavior and binary synchronization property. View full abstract»

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  • ISCAS 2010 nono-bio circuit fabrics and systems

    Publication Year: 2010 , Page(s): 322
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  • IEEE 2009 Membership Application

    Publication Year: 2010 , Page(s): 323 - 324
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  • IEEE Circuits and Systems Society Information

    Publication Year: 2010 , Page(s): C3
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  • IEEE Transactions on Circuits and Systems for Video Technology Information for authors

    Publication Year: 2010 , Page(s): C4
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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-Tune 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

Managing Editor
Jaqueline Zelkowitz
tcsvt@tcad.polito.it