# IEEE Transactions on Circuits and Systems for Video Technology

## Volume 28 Issue 2 • Feb. 2018

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## Filter Results

Displaying Results 1 - 25 of 27

Publication Year: 2018, Page(s):C1 - C4
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• ### IEEE Transactions on Circuits and Systems for Video Technology publication information

Publication Year: 2018, Page(s): C2
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• ### Editor-in-Chief Message: Embracing the Era of Intelligent Visual Technology and Systems

Publication Year: 2018, Page(s):273 - 274
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• ### Introduction of New Associate Editors

Publication Year: 2018, Page(s):275 - 287
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• ### All-In-Focus Synthetic Aperture Imaging Using Image Matting

Publication Year: 2018, Page(s):288 - 301
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“Seeing through” occluders is one of the most important effects that can be achieved with synthetic aperture imaging. As well, the occlusion problem, a challenging task for many computer vision applications, can be easily handled. Synthetic aperture imaging takes advantage of the property that only objects on the focal plane are sharp. The resulting image that is obtained by averagin... View full abstract»

• ### Subspace Clustering With $K$ -Support Norm

Publication Year: 2018, Page(s):302 - 313
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Subspace clustering aims to cluster a collection of data points lying in a union of subspaces. Based on the assumption that each point can be approximately represented as a linear combination of other points, extensive efforts have been made to compute an affinity matrix in a self-expressive framework for describing the similarity between points. However, the existing clustering methods consider t... View full abstract»

• ### Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters

Publication Year: 2018, Page(s):314 - 326
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Conventional tracking-by-detection approaches for visual object tracking often assume that the task at hand is a binary foreground-versus-background classification problem, in which the background is a single, generic, and all-inclusive class. In contrast, here we argue that the background appearance, for the most part, possesses a more complicated structure that would benefit from further partiti... View full abstract»

• ### Bilevel Multiview Latent Space Learning

Publication Year: 2018, Page(s):327 - 341
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Different kinds of features describe different aspects of image data, and each feature can be treated as a view when we take it as a particular understanding of images. Leveraging multiple views provides a richer and comprehensive description than using only a single view. However, multiview data are often represented by high-dimensional heterogeneous features, so it is meaningful to find a low-di... View full abstract»

• ### Positive and Negative Label Propagations

Publication Year: 2018, Page(s):342 - 355
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This paper extends the state-of-the-art label propagation (LP) framework in the propagation of negative labels. More specifically, the state-of-the-art LP methods propagate information of the form “the sample i should be assigned the label k.” The proposed method extends the state-of-theart framework by considering additional information of the form “the sample i should not be... View full abstract»

• ### Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification

Publication Year: 2018, Page(s):356 - 363
Cited by:  Papers (3)
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Recently, support vector ranking (SVR) has been adopted to address the challenging person reidentification problem. However, the ranking model based on ordinary global features cannot well represent the significant variation of pose and viewpoint across camera views. To address this issue, a novel ranking method that fuses the dense invariant features (DIFs) is proposed in this paper to model the ... View full abstract»

• ### Hand Gesture Recognition With Multiscale Weighted Histogram of Contour Direction Normalization for Wearable Applications

Publication Year: 2018, Page(s):364 - 377
Cited by:  Papers (1)
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This paper proposes a static hand gesture recognition method with low computation and memory consumption for wearable applications. The hand contour is chosen as the hand gesture feature and support vector machine is used to classify the feature. A multiscale weighted histogram of contour direction-based direction normalization is proposed to ensure good recognition performance. In order to improv... View full abstract»

• ### Understanding and Removal of False Contour in HEVC Compressed Images

Publication Year: 2018, Page(s):378 - 391
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A contour-like artifact called false contour is often observed in large smooth areas of decoded images and video. Without loss of generality, we focus on detection and removal of false contours resulting from the state-of-the-art High Efficiency Video Coding codec. First, we identify the cause of false contours by explaining the human perceptual experiences on them with specific experiments. Next,... View full abstract»

• ### Patch Matching for Image Denoising Using Neighborhood-Based Collaborative Filtering

Publication Year: 2018, Page(s):392 - 401
Cited by:  Papers (1)
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We consider patch matching as a recommendation system problem and introduce a new patch-matching approach using nearest neighbor-based collaborative filtering (NN-CF). Our approach involves recommending similar patches to a query patch with the help of other similar patches in a noisy image or an external database. Using user-oriented and item-oriented formulations of NN-CF, we present two variati... View full abstract»

• ### A Robust Multibit Multiplicative Watermark Decoder Using a Vector-Based Hidden Markov Model in Wavelet Domain

Publication Year: 2018, Page(s):402 - 413
Cited by:  Papers (2)
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The vector-based hidden Markov model (HMM) is a powerful statistical model for characterizing the distribution of the wavelet coefficients, since it is capable of capturing the subband marginal distribution as well as the inter-scale and cross-orientation dependencies of the wavelet coefficients. In this paper we propose a scheme for designing a blind multibit watermark decoder incorporating the v... View full abstract»

• ### Structure-Adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression

Publication Year: 2018, Page(s):414 - 427
Cited by:  Papers (2)
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Noise detection accuracy is crucial in suppressing random-valued impulse noise. Both false and miss detections determine the final estimation performance. Deterministic detection methods, which distinctly classify pixels into noisy or uncorrupted pixels, tend to increase the estimation error because some uncorrupted edge points are hard to discriminate from the random-valued impulse noise points. ... View full abstract»

• ### Image Class Prediction by Joint Object, Context, and Background Modeling

Publication Year: 2018, Page(s):428 - 438
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State-of-the-art image classification methods often use spatial pyramid matching or its variants to make use of the spatial layout of visual features. However, objects may appear at various places with different scales and orientations. Besides, traditionally object-centric-based methods only consider objects and the background without fully exploring the context information. To solve these proble... View full abstract»

• ### Explicit Edge Inconsistency Evaluation Model for Color-Guided Depth Map Enhancement

Publication Year: 2018, Page(s):439 - 453
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Color-guided depth enhancement is used to refine depth maps according to the assumption that the depth edges and the color edges at the corresponding locations are consistent. In methods on such low-level vision tasks, the Markov random field (MRF), including its variants, is one of the major approaches that have dominated this area for several years. However, the assumption above is not always tr... View full abstract»

• ### Image Classification With Tailored Fine-Grained Dictionaries

Publication Year: 2018, Page(s):454 - 467
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In this paper, we propose a novel fine-grained dictionary learning method for image classification. To learn a high-quality discriminative dictionary, three types of multispecific subdictionaries, i.e., class-specific dictionaries (CSDs), universal dictionary (UD), and family-specific dictionaries (FSDs), are simultaneously uncovered. Here, CSDs and UD, respectively, model the patterns for each cl... View full abstract»

• ### Playout Continuity Driven Framework for HTTP Adaptive Streaming Over LTE Networks

Publication Year: 2018, Page(s):468 - 482
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HyperText Transfer Protocol (HTTP) adaptive streaming (HAS) has undoubtedly become the most cost-effective solution in delivering video contents over the IP networks. While many works have been proposed to improve the performance of HAS, the HAS in the cellular networks is still a challenging problem due to the limited radio resource and the dramatically increasing need for the mobile video servic... View full abstract»

• ### GrIMS: Green Information-Centric Multimedia Streaming Framework in Vehicular Ad Hoc Networks

Publication Year: 2018, Page(s):483 - 498
Cited by:  Papers (2)
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Information-centric networking (ICN), as a novel network paradigm, is expected to natively support mobility, multicast, and multihoming in vehicular ad hoc networks (VANETs). In this paper, the adoption of ICN principles for multimedia streaming in multihomed VANETs is investigated, with a major emphasis on the tradeoff between the quality of experience and energy efficiency (EnE). To formalize th... View full abstract»

• ### Weighted Rate-Distortion Optimization for Screen Content Coding

Publication Year: 2018, Page(s):499 - 512
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Unlike camera-captured video, screen content (SC) often contains a lot of repeating patterns, which makes some blocks used as references much more important than others. However, conventional rate-distortion optimization (RDO) schemes in video coding do not consider the dependence among image blocks, which often leads to a locally optimal parameter selection, especially for SC. In this paper, we p... View full abstract»

• ### Probability-Based Depth Intra-Mode Skipping Strategy and Novel VSO Metric for DMM Decision in 3D-HEVC

Publication Year: 2018, Page(s):513 - 527
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Multiview video plus depth format has been adopted as the emerging 3D video representation recently. It includes a limited number of textures and depth maps to synthesize additional virtual views. Since the quality of depth maps influences the view synthesis process, their sharp edges should be well preserved to avoid mixing foreground with background. To address this issue, 3D-High Efficiency Vid... View full abstract»

• ### Context-Based Fractional Sample Refinement for HEVC Compliant Encoding

Publication Year: 2018, Page(s):528 - 539
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The H.265/MPEG-H High Efficiency Video Coding compliant encoding process faces the challenge of high computational complexity. Particularly, in the case of inter-picture prediction, most of the computational resources are allocated for the motion estimation (ME) process. In turn, ME and motion compensation enable improving coding efficiency by addressing the blocks of video frames as corresponding... View full abstract»

• ### Split-and-Merge-Based Block Partitioning for High Efficiency Image Coding

Publication Year: 2018, Page(s):540 - 549
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Quadtree-based partitioning (i.e., recursively dividing a picture into square blocks) is one of the most popular partitioning-based image coding schemes because of its computational simplicity and efficient representation of partitioning. However, the rate-distortion performance of quadtree-based partitioning reaches a limit because the dependence between child blocks of different parents is not e... View full abstract»

• ### Local Inverse Tone Mapping for Scalable High Dynamic Range Image Coding

Publication Year: 2018, Page(s):550 - 555
Cited by:  Papers (1)
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Tone mapping operators (TMOs) and inverse TMOs (iTMOs) are important for scalable coding of high dynamic range (HDR) images. Because of the high nonlinearity of local TMOs, it is very difficult to estimate the iTMO accurately for a local TMO. In this letter, we present a two-layer local iTMO estimation algorithm using an edge-preserving decomposition technique. The low dynamic range (LDR) image is... View full abstract»

## 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

Shipeng Li
IngDan Labs
Suite 1418 Hailong Building
No. 1 Zhongguancun Street
Haidian District, Beijing, China 10086
tcsvt.eic@gmail.com

Peer Review Support Services
Desiree Noel
IEEE Publishing Operations
d.noel@ieee.org
732-562-2644