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This paper introduces an open-source HEVC video call application called Kvazzup. This academic proposal is the first HEVC-based end-to-end video call system with a user-friendly Graphical User Interface for call management. Kvazzup is built on the Qt framework and it makes use of four open-source tools: Kvazaar for HEVC encoding, OpenHEVC for HEVC decoding, Opus codec for audio coding, and Live555...
Application mobility is the paradigm where users can move parts of their running applications across multiple heterogeneous devices in a seamless manner. This mobility involves dynamic context changes of hardware, network resources, user environment and user preferences. State-of-the-art adaptive applications adapt in multiple ways to a subset of scenarios in application mobility, however, adaptation...
State-of-the-art video deblurring methods are capable of removing non-uniform blur caused by unwanted camera shake and/or object motion in dynamic scenes. However, most existing methods are based on batch processing and thus need access to all recorded frames, rendering them computationally demanding and time-consuming and thus limiting their practical use. In contrast, we propose an online (sequential)...
Virtual reality applications make use of 360-degree panoramic or omnidirectional video with high resolution and high frame rate in order to create the immersive experience to the user. The user views only a portion of the captured 360-degree scene at each time instant, hence streaming the whole omnidirectional video in highest quality is not efficient. In order to alleviate the problem of bandwidth...
We consider an inter-layer FEC technique combined with hierarchical 16QAM schemes for stereoscopic video transmission over AWGN relay channels. The proposed system with the suitable hierarchical value (α) can gain about 2.26–6.18 dB in the average PSNR performance, compared with the system using conventional FEC and hierarchical 16QAM schemes.
In this paper we present a scalable multi-view video streaming system with client-side view interpolation. Most parts of the system have been shown to be able to perform in real-time, but never as a complete system. Even though our algorithms are not yet highly optimized, we show that running a complete multi-view streaming system video on consumer hardware is possible today. Since multi-view coding...
This paper describes a flexible multimedia stack which provides media content from number of different streaming protocols. The main goal is to facilitate and accelerate integration with different TV and Set Top Box platforms. Presented solution can be used on Android as well as on Linux based systems. Advantages of this solution are unified data flow and processing of media data. It provides elementary...
This Paper proposes a Novel frame work for reversible data hiding scheme over an encrypted cover medium. Reversible data hiding techniques are gaining huge importance in recent years due to its excellent feature of enabling zero distortion reconstruction of both cover medium information as well as secret data information, while protecting the confidentiality of the payload image information. We propose...
Although, it was shown that NC is a promising technique to improve the throughput; especially for multicast environment; it also bears negative side-effects (e.g., high decoding delay). Since streaming video are usually subject to strict delay constraints, high decoding delay must be resolved to enhance the performance of the NC schemes. To overcome this issue, this paper presents a new scheme named...
A semi-supervised online video object segmentation algorithm, which accepts user annotations about a target object at the first frame, is proposed in this work. We propagate the segmentation labels at the previous frame to the current frame using optical flow vectors. However, the propagation is error-prone. Therefore, we develop the convolutional trident network (CTN), which has three decoding branches:...
There is more to images than their objective physical content: for example, advertisements are created to persuade a viewer to take a certain action. We propose the novel problem of automatic advertisement understanding. To enable research on this problem, we create two datasets: an image dataset of 64,832 image ads, and a video dataset of 3,477 ads. Our data contains rich annotations encompassing...
The latest High Efficiency Video Coding (HEVC) has been increasingly used to generate video streams over Internet. However, the decoded HEVC video streams may incur severe quality degradation, especially at low bit-rates. Thus, it is necessary to enhance visual quality of HEVC videos at the decoder side. To this end, we propose in this paper a Decoder-side Scalable Convolutional Neural Network (DS-CNN)...
Panoramic streaming enables users to interactively navigate through high-spatial resolution videos and create an immersive and personalized user experience. Since transmission of high-resolution videos in desirable quality is not feasible given the limited throughput of access and home network links, our work is based on tile-based streaming, where only a spatial subset of the video is transmitted...
Recent advances in video understanding are enabling incredible developments in video search, summarization, automatic captioning and human computer interaction. Attention mechanisms are a powerful way to steer focus onto different sections of the video. Existing mechanisms are driven by prior training probabilities and require input instances of identical temporal duration. We introduce an intuitive...
Data movement to and from off-chip memory dominates energy consumption in most video decoders, with DRAM accesses consuming 2.8x–6x more energy than the processing itself. We present a H.265/HEVC video decoder with embedded DRAM (eDRAM) as main memory. We propose the following techniques to optimize data movement and reduce the power consumption of eDRAM: 1) lossless compression is used to store reference...
Motivated by streaming multi-view video coding, we consider the problem of blockwise streaming compression of a pair of correlated sources, which we term streaming Slepian-Wolf coding. We study the moderate deviations regime in which the rate pairs of a sequence of codes converges, along a straight line, to various points on the boundary of the Slepian-Wolf region at a speed slower than the inverse...
In this paper a robust encoding scheme is proposed to improve the visual quality of HEVC decoded video when intra frames are lost along the streaming path. For this purpose, the encoding process includes frame loss simulation and subsequent error concealment, to find the most efficient method that should be used by a decoder to recover lost intra frames. In this novel scheme, each image is divided...
In this paper, we present an IoT-based power-efficient color frame transmission and generation algorithm for video surveillance application. The conventional way is to transmit all R, G and B components of all frames. Using our proposed technique, instead of sending all components, first one color frame is sent followed by a series of gray-scale frames. After a certain number of gray-scale frames,...
HTTP Adaptive Streaming is a successful and largely adopted content delivery technology. Yet poor bandwidth prediction, notably in mobile networks, may cause bit-rate oscillations, increased segment delivery delays, video freezes, and may thus negatively impact the end user quality of experience. To address this issue, we propose to exploit the stream prioritization and termination features of the...
Named Data Networking (NDN), a revolution of the IP architecture, provides an information-centric paradigm to transmit video traffic which occupies most of the Internet traffic. However, the data caching schemes exploited by the current NDN can easily result in the unfair distribution of cache space, which is not suitable for performance isolation when there are multiple network users and the cache...
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