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Peer-to-peer networking, a disruptive technology for large scale distributed applications, has gained widespread attention due to the successes of peer-to-peer (P2P) content sharing, media streaming, and telephony applications. In addition, a large range of new applications are under development or being proposed. The underlying architectures share features including decentralization, end system...
The seamless development in computing, networking, communication, and signal processing is making media a more and more important part of our daily lives. The passive nature of media, however, limits the capability of it. In this paper, we introduce the notion of ‘smart’ media which carry additional active information imperceptibly in the media content itself for added interactive-ability. With smart...
Peer-to-peer computing and networking are important developments for large-scale distributed systems design and the evolution of Internet architecture. Widely used applications have demonstrated their feasibility and economic potential for services involving millions of users. A great deal of research has followed to formalize and improve on the empirical results. This introductory chapter surveys...
Video stitching requires proper seam cutting technique to decide the boundary of the sub video volume cropped from source videos. In theory, approaches such as 3D graph-cuts that search the entire spatiotemporal volume for a cutting surface should provide the best results. However, given the tremendous data size of the camera array video source, the 3D graph-cuts algorithm is extremely resource-demanding...
Image stitching has been developed to enhance users' immersive experiences by constructing new images of higher spatial resolution and broader field of view from multiple input images. Most image stitching schemes assume 2D transformation of the whole frame between images. There usually exist local misalignments of contents that do not match with the transformation and may cause artifacts such as...
Long scene panorama (LSP) can provide the immersive experience for an extended view in one single photograph. The state-of-the-art image mosaicing based LSP techniques are significantly constrained by their high computational complexity, limiting their applications to platforms with rich computing resource. Slit-scanning based schemes, although implementation friendly, heavily rely on the consistency...
Most works about affective image classification in computer vision treat each emotion category independently and predict hard labels, ignoring the correlation between emotion categories. In this work, inspired by psychological theories, we adopt a dimensional emotion model to model the correlation among certain emotion categories. We also propose a framework of changing image emotion by using our...
In recent years, the performance of image denoising has been boosted drastically by nonlocal algorithms and sparse coding techniques. In this paper, we also take a nonlocal approach to image denoising and formulate the problem as one of collaborative LMMSE estimation from grouped image patches. We show that our optimal LMMSE solution amounts to shrinking the singular values of the matrix representation...
In many applications, users desire to access a random viewing angle of a scene in high resolution while this specifically queried imagery is not among the acquired sample images. In theory, 3D reconstruction based rendering can generate such an image. However, accurate camera calibration over large scale photo collections is needed and is highly complex in nature. Image stitching based approachescan...
In this paper, we present a novel subjective quality model for online adaptive movie streaming service. The proposed model considers the Quality of Experience (QoE) of streaming video viewing as a cumulative evaluation process of consecutive segments that compose a story line. Under bandwidth constraint, streaming client may select lower-quality segment, pause playback for re-buffering, or both. The...
Hand-held mobile phone photography usually suffers from motion blur. Without information about the camera motion, it is difficult for traditional methods to remove such blur. We study sensor-assisted single image deblurring on modern smartphones. Information about the camera motion is obtained from the smartphones' built-in sensors such as ac-celerometers, gyroscopes, and magnetometers. Addressing...
Recent years have witnessed the emergence and ongoing proliferation of dynamic adaptive streaming over HTTP (DASH1), which reuses web servers with HTTP communication instead of relying on RTP-based media server and promises to be capable of automatically tuning to bandwidth dynamics. The third generation partnership project (3GPP) long term evolution (LTE) has adopted DASH for use in order to realize...
Providing well-satisfactory multi-party video conferencing service is remarkably challenging, which demands not only high bandwidth but also low latency. Current commercial implementations typically use one or multiple multipoint control units (MCUs) as the central points for distributing video bit-streams to all participants in the conferencing session. Such MCU-based solution has limited control...
We present in this paper a new device-to-device (D2D) communication scheme to create a QoS enhanced multimedia services for LTE users who are physically close to each other. This scheme has a potential to provide higher bandwidth service with reduced delay and reduced power consumption. However, a significant challenge from such D2D opportunity is to establish the direct link between nearby devices...
The core question in Perceptual Rate Distortion Optimization is how to find the Lagrange multiplier λ, which essentially requires the construction of a perceptual quality based RD model. A compelling RD modeling expects that the model reflects the best achievable Rate Distortion trade-off and captures the RD behavior with high accuracy. To this end, we rescale the λ associated with MSE-RDO to match...
Data redundancy elimination (DRE), also known as data de-duplication, reduces the data amount to be transferred or stored by identifying and eliminating both intra-object and inter-object duplicated data elements. It is one of the key content delivery acceleration techniques over wide area networks (WANs) to reduce delivery latency and bandwidth consumptions by reducing the amount of data to be transferred...
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...
Video denoising based on temporal or spatiotemporal filtering is highly effective but computationally expensive due to the requirement of motion estimation. Encoder-integrated denoising is an efficient framework that embeds the filtering process into the encoding pipeline so that motion estimation for denoising can be avoided. State-of-the-arts encoder-integrated methods use Least Minimum Mean Square...
Embedding watermark into H.264 bit-streams directly can simplify encoding procedure and reduce computational cost comparing with conventional encoder based watermarking algorithms. However, possible error propagation may occur due to the prediction mechanism of the H.264 codec and cause video quality degradation. Expensive computation is often needed to compensate such drift. Furthermore, compensation...
Owing to the imminent fixed mobile convergence, Internet applications are frequently accessed through mobile nodes. However, service delivery latency is too high to satisfy user expectations. In this paper, we design a new TCP algorithm, TCP-ME (Mobile Edge), to accelerate the service delivery in mobile networks. Considering the QoS (Quality of Service) mechanisms of mobile networks, TCP-ME is designed...
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