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The progression of cheaper, faster and more reliable Internet technologies leads Internet of Things (IoT) to be applied in various fields of life nowadays. While tremendous data are generated and delivered from IOT devices, it is essential on the server side having scalable and effective data compression techniques to balance storage usage and data precision. This paper presents an adjustable content-sensitive...
As 4K UHD market constantly increases, the development of 4K UHD multimedia devices is becoming more important and profitable. Important aspect in 4K multimedia devices development and deployment is testing which can be done using black-box approach. In this paper, two main challenges regarding 4K UHD device black-box testing are identified and explored, namely problem of raw 4K UHD video transmission...
We present a generic and real-time time-varying point cloud codec for 3D immersive video. This codec is suitable for mixed reality applications in which 3D point clouds are acquired at a fast rate. In this codec, intra frames are coded progressively in an octree subdivision. To further exploit inter-frame dependencies, we present an inter-prediction algorithm that partitions the octree voxel space...
Image compression is gaining good deal of attention and development nowadays. There are many uses and benefits incorporated with this application. Compressing an image will reduce its size to some amount that will enhance its storage or transmission over a network. In this paper, we proposed and compared two (Shift Coding) based techniques that we developed to gain the best compression ratios while...
Image resolution in modern video processing and display systems are rocketing up in recent years. With the main stream video quality evolving from standard definition to high-definition, and further towards the emerging super high-definition, the bandwidth and power consumption of external memory are becoming serious bottlenecks. In this paper, frequency domain analysis is made on image down-sampling,...
In this paper, we propose a novel multi-mode error concealment algorithm that aims at obtaining high quality reconstructions with reduced computational burden. Block-based coding schemes in packet loss-environment are considered. The proposed technique exploits the excellent reconstructing abilities of the kernel-based minimum mean square error (K-MMSE) estimator [1]. The complexity of our technique...
In digital communications, it is necessary to compress the data for a faster and more reliable transmission. As such, the data should undergo source encoding, also known as data compression, which is the process by which data are compressed into a fewer number of bits, before transmission. Also, source encoding is essential to limit file sizes for data storage. Two of the most common and most widely...
Background model can help to improve the compression efficiency for surveillance video coding, but the existing frame-based background model is inefficient in some situations, for example, when a region of background changes frequently or periodically. In this paper, a block-based background model is proposed to solve this problem. We save the background blocks recognized from each reconstructed frame...
The demand for low-noise (for capturing a clear image in low-light conditions), high-speed (for slow-motion applications and reducing rolling shutter distortion) and high-resolution (for formats beyond 4K) CMOS image sensors is still increasing. In addition, the emerging camcorder market typified by handsfree devices requires the simultaneous capture of still and moving images. To improve noise performance,...
In recent years, cloud computing has emerged as a viable alternative for many computationally intensive applications. Offloading an application to the cloud has many advantages, but power consumption is still an important concern. Service providers should minimize power while maintaining customer's quality of service requirements. Dynamic Voltage and Frequency Scaling (DVFS) is an effective method...
3D HEVC is one of the extensions of HEVC (High Efficiency Video Coding), which is the latest video coding standard developed by the Joint Collaborative Team on Video Coding (JCT-VC). The inherent high computing complexity of 3D HEVC handicaps its usage in practical applications. HEVC replaces the macroblock (MB) of H.264 with the largest coding unit (LCU), in which coding units (CUs) of sizes 64 ×...
A new method for image compression is introduced. It uses a new physics-based mathematical transformation that increases spatial coherency by causing feature-selective stretch. We show that by reshaping the image with a special class of transfer functions, more samples are allocated to sharp features, where they are needed, and less to coarse features, where they are redundant. The method achieves...
Error concealment (EC) is an important post processing technique to deal with the packet loss during the transmission of compressed video stream. This paper aims to address the problem of recovering the missing block in the decoded video stream from the perspective of compressed sensing. The missing block is assumed to be sparsely represented by a dictionary of prototype signal atoms. The atoms are...
Real time transmission of compressed video data over power line channels is a challenging task because of the severe characteristics of the power line transmission medium. In particular, efficient video transmission schemes need to cope with sudden channel variations due to the connection of various appliances on the indoor PLC network. In this paper, we propose an original adaptive video transmission...
MPEG is one of the popular standards in image compression. Blocking is the most annoying artifact of encoding/decoding process. In this paper a post-processing deblocking algorithm for MPEG video stream is proposed. This method is based on the correlation of local pixels in block boundary region. It takes two 4×4 adjacent small blocks on both sides of a block boundary as a local processing region...
The H.264 encoder has input parameters that determine the bit rate and distortion of the compressed video and the encoding complexity. These encoding parameters may significantly affect not only the encoding performance, but also affect the cross-layer design optimization for the video streaming transmission over wireless networks. However, it is very difficult to derive the impact factors of these...
In this paper we argue that the combination of mature video compressing techniques, to emergent Cloud Computing technology, using the Split & Merge architecture, can drastically improve time efficiency of the compression process.
The goal of the MobileASL (American Sign Language) research project is to enable sign language communication over the U.S. cellular network, which is low bandwidth and lossy. Data loss can greatly impact the quality of compressed video because of temporal and spatial error propagation. We investigate techniques to minimize the effect of data loss for improving compressed video sign language conversations...
In this paper the implementation of discrete cosine transform (DCT) on the GPU. The study indicates a clear superiority of the GPU as parallel processor for image compression using DCT over the CPU. It also indicates that the increase in image size considerably slowed the CPU and did not affect the GPU.
This work considers a video-on-demand scenario that transmits pre-encoded JPEG2000 video to clients over a time-varying channel. To allow variable bit rate (VBR) video, the client has a limited buffer capacity that may vary from client to client, and channel capacity may vary over time in an unpredictable manner. Our method is an extension of the FAst rate allocation through STeepest descent (FAST).
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