IEEE Transactions on Circuits and Systems for Video Technology
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Volume 23 Issue 11 • Nov. 2013
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IEEE Transactions on Circuits and Systems for Video Technology publication information
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Real-Time Video Streaming Using Randomized Expanding Reed–Solomon Code
Publication Year: 2013, Page(s):1825 - 1836
Cited by: Papers (21)Forward error correction (FEC) codes are widely studied to protect streamed video over unreliable networks. Typically, enlarging the FEC coding block size can improve the error correction performance. For video streaming applications, this could be implemented by grouping more than one video frame into one FEC coding block. However, in this case, it leads to decoding delay, which is not tolerable ... View full abstract»
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An Efficient Mode Preselection Algorithm for Fractional Motion Estimation in H.264/AVC Scalable Video Extension
Publication Year: 2013, Page(s):1837 - 1848The video coding standard, H.264/AVC scalable video extension (SVC), adopts various advanced interlayer prediction modes to explore the data redundancies between layers for better coding efficiency but at the expense of significantly increased computational complexity and data access bandwidth, especially for hardware realization of fractional motion estimation mode decision. To deal with this pro... View full abstract»
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Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes
Publication Year: 2013, Page(s):1849 - 1864
Cited by: Papers (21)Background subtraction is a fundamental preprocessing step in many surveillance video analysis tasks. In spite of significant efforts, however, background subtraction in crowded scenes remains challenging, especially, when a large number of foreground objects move slowly or just keep still. To address the problem, this paper proposes a selective eigenbackground method for background modeling and s... View full abstract»
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Moving Least-Squares Method for Interlaced to Progressive Scanning Format Conversion
Publication Year: 2013, Page(s):1865 - 1872
Cited by: Papers (2)In this paper, we introduce an efficient intra-field deinterlacing algorithm based on moving least squares (MLS). The MLS algorithm has proven successful for approximating scattered data by minimizing a weighted mean-square error norm. In order to estimate the value of the missing point using the given data, we utilize MLS to generate a generic local approximation function about this point. In the... View full abstract»
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Multichannel Nonlocal Means Fusion for Color Image Denoising
Publication Year: 2013, Page(s):1873 - 1886
Cited by: Papers (9)In this paper, we propose an advanced color image denoising scheme called multichannel nonlocal means fusion (MNLF), where noise reduction is formulated as the minimization of a penalty function. An inherent feature of color images is the strong interchannel correlation, which is introduced into the penalty function as additional prior constraints to expect a better performance. The optimal soluti... View full abstract»
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Detection of Blotch and Scratch in Video Based on Video Decomposition
Publication Year: 2013, Page(s):1887 - 1900
Cited by: Papers (12)In old video restoration, automatic detection of common defects, e.g., scratches and blotches, has always been emphasized. While prior thoughts mainly focus on detecting blotches and linear, vertical scratches separately, this paper contributes to a more generalized and challenging issue: simultaneous detection of blotches and complex scratches in video, with much less knowledge of them. We invest... View full abstract»
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Hybrid Frame Rate Upconversion Method Based on Motion Vector Mapping
Publication Year: 2013, Page(s):1901 - 1910
Cited by: Papers (8)Liquid crystal displays (LCDs), which serve as receivers of high visual quality video, suffer from motion blur issues. One of the methods in terminating motion blur is motion compensated frame rate upconversion, which is widely adopted in LCDs. In the previous work, i.e., particle-based frame rate upconversion, the computation complexity is high while repeated operations and some improper cost eva... View full abstract»
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Optimal Design and Placement of Omni-Cameras in Binocular Vision Systems for Accurate 3-D Data Measurement
Publication Year: 2013, Page(s):1911 - 1926
Cited by: Papers (12)A new problem of automatically designing an optimal stereo vision system using two omni-directional catadioptric cameras to yield the highest 3-D data accuracy is studied. Factors of the system configuration considered in the design include camera pose, field of vision, and mirror shape. To find the optimal vision system configuration, an analytic formula is derived to model the 3-D measurement er... View full abstract»
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Scene-Based Movie Summarization Via Role-Community Networks
Publication Year: 2013, Page(s):1927 - 1940
Cited by: Papers (28)Video summarization techniques aim at condensing a full-length video to a significantly shortened version that still preserves the major semantic content of the original video. Movie summarization, being a special class of video summarization, is particularly challenging since a large variety of movie scenarios and film styles complicate the problem. In this paper, we propose a two-stage scene-bas... View full abstract»
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Structured Set Intra Prediction With Discriminative Learning in a Max-Margin Markov Network for High Efficiency Video Coding
Publication Year: 2013, Page(s):1941 - 1956
Cited by: Papers (1)This paper proposes a novel model on intra coding for High Efficiency Video Coding (HEVC), which simultaneously predicts blocks of pixels with optimal rate distortion. It utilizes the spatial statistical correlation for the optimal prediction based on 2-D contexts, in addition to formulating the data-driven structural interdependences to make the prediction error coherent with the probability dist... View full abstract»
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Robust Object Tracking Via Active Feature Selection
Publication Year: 2013, Page(s):1957 - 1967
Cited by: Papers (28)Adaptive tracking by detection has been widely studied with promising results. The key idea of such trackers is how to train an online discriminative classifier, which can well separate an object from its local background. The classifier is incrementally updated using positive and negative samples extracted from the current frame around the detected object location. However, if the detection is le... View full abstract»
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Minimum Class Variance Extreme Learning Machine for Human Action Recognition
Publication Year: 2013, Page(s):1968 - 1979
Cited by: Papers (71)In this paper, we propose a novel method aiming at view-independent human action recognition. Action description is based on local shape and motion information appearing at spatiotemporal locations of interest in a video. Action representation involves fuzzy vector quantization, while action classification is performed by a feedforward neural network. A novel classification algorithm, called minim... View full abstract»
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A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos
Publication Year: 2013, Page(s):1980 - 1992
Cited by: Papers (24) | Patents (1)In this paper, a new heat-map-based algorithm is proposed for group activity recognition. The proposed algorithm first models human trajectories as series of heat sources and then applies a thermal diffusion process to create a heat map (HM) for representing the group activities. Based on this HM, a new key-point-based (KPB) method is used for handling the alignments among HMs with different scale... View full abstract»
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Video-Based Human Behavior Understanding: A Survey
Publication Year: 2013, Page(s):1993 - 2008
Cited by: Papers (85)Understanding human behaviors is a challenging problem in computer vision that has recently seen important advances. Human behavior understanding combines image and signal processing, feature extraction, machine learning, and 3-D geometry. Application scenarios range from surveillance to indexing and retrieval, from patient care to industrial safety and sports analysis. Given the broad set of tech... View full abstract»
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IEEE Transactions on Circuits and Systems for Video Technology information for authors
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Aims & Scope
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) covers the circuits and systems aspects of all video technologies. General, theoretical, and application-oriented papers with a circuits and systems perspective are encouraged for publication in TCSVT on or related to image/video acquisition, representation, presentation and display; processing, filtering and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication and networking; storage, retrieval, indexing and search; and/or hardware and software design and implementation.
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