IEEE Transactions on Circuits and Systems for Video Technology
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Volume 26 Issue 10 • Oct. 2016
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IEEE Transactions on Circuits and Systems for Video Technology publication information
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MAP-Based Motion Refinement Algorithm for Block-Based Motion-Compensated Frame Interpolation
Publication Year: 2016, Page(s):1789 - 1804A new motion vector field (MVF) refinement algorithm is proposed for block-based motion-compensated frame interpolation. Under the assumption that an observed MVF, such as the result of a block-based motion estimation (BME), is a degraded version of the true MVF, the true MVF is estimated from the observation through maximum a posteriori probability (MAP) estimation. To define the posterior probab... View full abstract»
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Automatic Dynamic Texture Transformation Based on a New Motion Coherence Metric
Publication Year: 2016, Page(s):1805 - 1820
Cited by: Papers (4)Changing dynamic texture appearances can create new looks in both the motion and color appearances of videos. Dynamic textures with sophisticated shape and motion appearance are difficult to represent by physical models and are difficult to predict, especially for transformation to new motion texture. We propose a dynamic texture transformation algorithm for the video sequences based on the motion... View full abstract»
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Power-Constrained RGB-to-RGBW Conversion for Emissive Displays: Optimization-Based Approaches
Publication Year: 2016, Page(s):1821 - 1834We propose an optimization-based power-constrained red-green-blue (RGB)-to-red-green-blue-white (RGBW) conversion algorithm for emissive RGBW displays. We measure the perceived color distortion using a color difference model in a perceptually uniform color space, and compute the power consumption for displaying an RGBW pixel on an emissive display. The central contribution of this paper is to form... View full abstract»
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Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms
Publication Year: 2016, Page(s):1835 - 1845Collaborative representation (CR), known as an effective way to address the signal representation (regression) problem, has achieved remarkable success in visual classification. According to our theoretical analysis, the subspace learning issue can also be deemed as a signal representation problem. Therefore, we extend the graph embedding (GE) framework as a CR model to improve the discriminating ... View full abstract»
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A Fast Mode Decision Method in HEVC Using Adaptive Ordering of Modes
Publication Year: 2016, Page(s):1846 - 1858
Cited by: Papers (4)High Efficiency Video Coding (HEVC) has brought significant improvement to video compression in terms of coding performance and subjective quality. However, it is computationally more complex than H.264/Advanced Video Coding (AVC) and, hence, adaptation of HEVC to real-time video services has not been promising. In order to reduce the computational cost, we propose a fast mode decision method that... View full abstract»
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Novel Bitrate Saving and Fast Coding for Depth Videos in 3D-HEVC
Publication Year: 2016, Page(s):1859 - 1869
Cited by: Papers (1)With the advance of coding and network technology, the multiview video (MVV) system has received growing attention in the 3-D TV market since it can provide consumers with more realistic scenes from different viewpoints. In the MVV system, each video sequence consists of one color-map video and one depth video to be encoded and the depth-image-based rendering technique is often used to create/synt... View full abstract»
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Online-Learning-Based Complexity Reduction Scheme for 3D-HEVC
Publication Year: 2016, Page(s):1870 - 1883
Cited by: Papers (2)3-D High Efficiency Video Coding (HEVC) is a new emerging video compression standard for multiview video applications. This standard utilizes advanced interview prediction characteristics in addition to the prediction features of the HEVC standard for efficient encoding of multiview video content. While using combined features improves the compression performance by utilizing the correlation betwe... View full abstract»
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Guided Chroma Reconstruction for Screen Content Coding
Thijs Vermeir ; Jürgen Slowack ; Ronny Van Belle ; Sebastiaan Van Leuven ; Glenn Van Wallendael ; Jan De Cock ; Rik Van de WallePublication Year: 2016, Page(s):1884 - 1892
Cited by: Papers (2)In professional markets, there is a growing need to incorporate off-the-shelf consumer-level hardware to reduce costs and speed up development. Typically, these hardware components contain hardware-accelerated video encoders, which are limited to the more popular YUV4:2:0 profiles. For screen content coding (SCC) (e.g., desktop sharing, supervisory control and data acquisition applications, etc.),... View full abstract»
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Efficient Upstream Bandwidth Multiplexing for Cloud Video Recording Services
Publication Year: 2016, Page(s):1893 - 1906
Cited by: Papers (2)The upsurge of cloud video recording (CVR) has gained increasing attention from the general public and entrepreneurs. With live video records archived in the cloud, the CVR paradigm enables various smart services by keeping track of activities in the monitored region from anywhere at any time. However, the limited upstream bandwidth affects the quality of surveillance when multiple distributed cam... View full abstract»
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A Scalable Solution for Interactive Near Video-on-Demand Systems
Publication Year: 2016, Page(s):1907 - 1916The required real-time and high-rate transfer of multimedia data limits the numbers of requests that can be concurrently serviced by video-on-demand (VOD) systems. Resource-sharing techniques can be used to address this scalability challenge, but they greatly complicate the efficient support for interactive operations. We develop an overall solution for interactive near VOD systems that employ res... View full abstract»
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Fast Action Localization in Large-Scale Video Archives
Publication Year: 2016, Page(s):1917 - 1930Finding content in large video archives has so far required textual annotation to enable search by keywords. Our aim is to support retrieval from such archives using queries based on the example video clips that contain meaningful human actions. We propose a solution for the scalable search of actions in large-scale archives by leveraging the complementarity between the description at the frame le... View full abstract»
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Aspect Learning for Multimedia Summarization via Nonparametric Bayesian
Publication Year: 2016, Page(s):1931 - 1942Summarization is desirable for efficient comprehension of an increasingly vast amount of data. A summary of multiple documents is a concise description of the main topic. Generally speaking, a topic delivers various aspects. For example, the natural disaster topic is likely to imply the aspects of casualties and rescue. Therefore, a good summary is expected to cover all the informative aspects of ... View full abstract»
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A Novel Hardware Architecture With Reduced Internal Memory for Real-Time Extraction of SIFT in an HD Video
Publication Year: 2016, Page(s):1943 - 1954
Cited by: Papers (2)Scale-invariant feature transform (SIFT) includes complex computations that require hardware implementation for real-time operations. Previous works on SIFT hardware acceleration used a large amount of internal memory, which limited a wider use of SIFT. This paper proposes a new SIFT hardware architecture that significantly reduces the amount of required internal memory by storing temporary data i... View full abstract»
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Counting People Crossing a Line Using Integer Programming and Local Features
Publication Year: 2016, Page(s):1955 - 1969
Cited by: Papers (2)We propose an integer programming method for estimating the instantaneous count of pedestrians crossing a line of interest (LOI) in a video sequence. Through a line sampling process, the video is first converted into a temporal slice image. Next, the number of people is estimated in a set of overlapping sliding windows on the temporal slice image, using a regression function that maps from local f... View full abstract»
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Reliability-Based Discontinuity-Preserving Stereo Matching
Publication Year: 2016, Page(s):1970 - 1975In stereo matching, it is a challengeable task to effectively deal with occlusions between objects, which often cause disparity errors along object boundaries. In this paper, we propose discontinuity-preserving stereo matching based on reliability. We first estimate an initial disparity map by segmentation-based adaptive weights. Then, we obtain reliability for each pixel in an image, which indica... View full abstract»
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IEEE Transactions on Circuits and Systems for Video Technology information for authors
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