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This demonstration illustrates an optimized HEVC decoder, which is compliant with the reference software HM 4.0. The optimized decoder is more than 4 times faster than the reference decoder, and can well meet the real-time decoding demands of the 1080p high-definition (HD) videos. In addition, based on the frame-level multi-thread framework, the optimized decoder can even achieve up to 13.2 times...
This demonstration illustrates an advanced prototype system that can adaptively stream the next generation video standard content over wireless networks with the objective to provide optimal yet to maintain constant quality of experience (QoE).
In this paper we demonstrate our MPEG-DASH evaluation suite, which comprises several components on the client side as well as on the server side. The major client components are the VLC DASH plugin, libDASH, and DASH-JS, a JavaScript-based DASH client. These tools enable performance tests on various platforms, e.g., Windows and Linux as well as mobile platforms such as Android. Moreover, due to their...
We describe the design of a mobile streaming system, which optimizes video delivery based on dynamic analysis of user behavior and viewing conditions, including user proximity, viewing angle, and ambient illuminance.
Full motion video (FMV) in unreliable, low-bit rate network channels suffers from quality issues such as jitter and block artifacts. In this paper, we introduce Vision Guided Compression (VGC), as a pre-processing technology that can be coupled with standards-based video coding, to provide FMV at low-bit rates. VGC utilizes computer vision algorithms to track salient features and keep them sharp,...
The proposed demo shows how a streaming client compliant with MPEG DASH [1] standard and developed using a GStreamer media framework [2], can be integrated into an HTML5 enabled web browser. Through a non-standard interface, the GStreamer adaptive streaming client can be controlled by a JavaScript engine implemented in the web browser.
Following miniaturisation of cameras and their integration into mobile devices such as smartphones combined with the intensive use of the latter, it is likely that in the near future the majority of digital images will be captured using such devices rather than using dedicated cameras. Since many users decide to keep their photos on their mobile devices, effective methods for managing these image...
A multimedia player that supports the DASH protocol has been developed for devices running either Android or Apple iOS. This media player is capable of supporting different profiles in the ISO Base Media File Format and MPEG-2 Transport Stream Media Segment Format. Our demonstration includes playback of live and VOD content, both of which are streamed from a web server located hundreds of miles away...
Recent technological advances in hardware miniaturization of sensors, low-power microprocessor design, and wireless ad hoc networking have enabled the deployment of large-scale wireless sensor networks. A wireless sensor network is a system of geographically distributed sensor nodes that communicate with each other over a dynamic and self-organizing wireless network. In a wireless video sensor network...
An efficient coding algorithm for depth map images and videos, based on view synthesis distortion estimation, is proposed in this work. We first analyze how a depth error is related to a disparity error and how the disparity vector error affects the energy spectral density of a synthesized color video in the frequency domain. Based on the analysis, we propose an estimation technique to predict the...
In High Efficiency Video Coding (HEVC), advanced motion vector prediction (AMVP) is adopted to predict current motion vector by utilizing a competition-based scheme from a given candidate set, which include both the spatial and temporal motion vectors. In order to enhance the practicability of the AMVP, a simplified AMVP is proposed. Firstly, by analyzing the importance of the spatial and temporal...
Blocking artifact reduction or deblocking algorithm is an important component in modern block-based video encoding architecture and often used as post-processing procedures in many encoding/transcoding applications. Most of the existing video deblocking algorithms do not take into account Human Visual System(HVS) models and employ empirically designed filters, resulting in suboptimal perceptual image...
In many conventional lossless color image compression methods, the pixels or lines from each color component are interleaved, and then they are predicted and coded. Also, it has been reported that the reversible color transform (RCT) followed by a grayscale encoder gives higher coding gain than the independent compression of each channel does. In this paper, we propose a lossless color image compression...
Since advanced 3D video systems employ depth information to support free-viewpoint navigation and comfortable 3D video viewing, efficient depth map coding is necessary for future 3D video systems. Most residual data in depth map coding are generated along abrupt depth discontinuities, represented by near-zero and high-magnitude values. In this paper, we model the residual data with two representative...
Image segmentation is a very important process in digital image/video processing and computer vision applications. It is often used to partition an image into separated parts for further processes. For some applications (i.e., concept-based image retrieval), a successful segmentation algorithm is necessary to identity the objects effectively. In addition, how to tag the objects after the segmentation...
Bit-depth expansion is an art of converting low bit-depth image into high bit-depth image. Bit-depth of an image represents the number of bits required to represent an intensity value of the image. Bit-depth expansion is an important field since it directly affects the display quality. In this paper, we propose a novel method for bit-depth expansion which uses Minimum Risk Based Classification to...
This paper proposes an efficient intra-field deinterlacing algorithms using local adaptive rational interpolation filter (LARF). Experimental results show that the proposed algorithm provides satisfied performances in terms of both objective and subjective image qualities. What is more, it just exploits the local spatial gradient information among the neighboring pixels without complex preset-conditions...
A histogram-based matching algorithm for stereo images captured under different illumination conditions is proposed in this work. The cumulative histogram of an image represents the ranks of relative pixel brightness, which are robust to illumination changes. Therefore, we design the matching cost based on the similarity of the cumulative histograms of stereo images. As an optional mode, the proposed...
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