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The recent light field imaging technology has been attracting a lot of interests due to its potential applications in a large number of areas including Virtual Reality, Augmented Reality (VR/AR), Teleconferencing, and E-learning. Light Field (LF) data is able to provide rich visual information such as scene rendering with changes in depth of field, viewpoint, and focal length. However, Light Field...
Surveillance visual systems play an important role in modern life, especially in the Internet of Things (IoTs) era. However, the limitation of bandwidth, energy resources and the heterogeneity of devices, networks and environments have been asking for a more powerful video coding solution, which provides not only the high compression efficiency but also the flexible scalability capability. In this...
The importance of functional status information (FSI) has become increasingly evident in recent years [1, 2]. However, implementation, application, and normalization of FSI in health care and Electronic Health Records (EHRs) have been largely underexplored. The World Health Organization's International Classification of Functioning, Disability and Health (ICF) [3] is considered to be the international...
With the steady increase of offered cloud storage services, they became a popular alternative to local storage systems. Beside several benefits, the usage of cloud storage services can offer, they have also some downsides like potential vendor lock-in or unavailability. Different pricing models, storage technologies and changing storage requirements are further complicating the selection of the best...
The present research work introduces a novel VLSI design of Context-Based Adaptive Variable Length Coding (CAVLC) entropy encoder. The proposed design is intended to be used for H.264/AVC CAVLC entropy encoder. The architecture is designed to be used as a part of a comprehensive H.264 video coding system. This hardware works in parallel and pipelined fashion and demonstrates a fair trade-off between...
The HEVC standard is one of the newest video coding standards developed to face the upcoming challenges concerning video processing. HEVC allows only one type of entropy encoder, which is the CABAC (Context Adaptive Binary Arithmetic Coding), responsible for the symbolic data representation in order to translate the final video bitstream to a smaller number of bits. This work presents hardware architecture...
This work presents a low-area scalable architecture for the Depth Modelling Mode 1 (DMM-1) encoder of the 3D High Efficiency Video Coding (3D-HEVC) standard, removing the refinement stage. This simplification causes a small BD-rate increase (0.09%) but a significant reduction in memory usage of 30%. The scalable architecture can support different block sizes. Synthesis results for ST 65 nm Standard...
The HEVC is one of the most recent video coding standards, developed in order to face upcoming challenges, due to higher video quality and resolution. One of the HEVC components is the entropy encoder, which consists only of the Context Adaptive Binary Arithmetic Coding (CABAC) algorithm. The CABAC algorithm imposes some severe difficulties in order to achieve increasing throughput, due to the high...
We propose the Anchored Regression Network (ARN), a nonlinear regression network which can be seamlessly integrated into various networks or can be used stand-alone when the features have already been fixed. Our ARN is a smoothed relaxation of a piecewise linear regressor through the combination of multiple linear regressors over soft assignments to anchor points. When the anchor points are fixed...
In this paper, we initiate the study of garbled protocols — a generalization of Yaos garbled circuits construction to distributed protocols. More specifically, in a garbled protocol construction, each party can independently generate a garbled protocol component along with pairs of input labels. Additionally, it generates an encoding of its input. The evaluation procedure takes as input...
Mid-level representations are used to map sets of local features into one global representation for a given media descriptor. In visual pattern recognition tasks, Bag-of-Words (BoW) is one popular strategy, among many methods available in literature, due mainly by the simplicity in concept and implementation. Despite the overall good results achieved by BoW in many tasks, the method is unstable in...
The Post-HEVC is the emerging video coding standard beyond the High Efficiency Video Coding (HEVC) standard. It is more complex in transformation and prediction steps but it offers the opportunity of 3D and 360° videos coding and compression. This paper presents different statistical analyzes of Post-HEVC encoded videos especially analysis on 1D and 2D transformation types and analysis on intra and...
The naming of local variables is usually at the programmer's discretion. Thus, there is a diversity in naming local variables and this may cause variations in the code quality. Many coding conventions say that the name of a local variable can/should be short. This paper focuses on such conventions, and aims to explore the trends of local variables' names in Java and examine if abnormal local variables...
Peer code reviews are important for giving and receiving peer feedback, but the code review process is time consuming. Static analysis tools can help reduce reviewer effort by catching common mistakes prior to peer code review. Ideally, contributors would use static analysis tools prior to pull request submission so common mistakes could be addressed first, before invoking the reviewer. To explore...
The steganography is the art of hidden; its main aim is to pass unnoticed data in another data. There are many types of data that used in steganography, such as message, image, and video. In this work, we are interested in hiding a message inside an image. Our work focuses on the study of three approaches based on least significant bit (LSB) techniques that mean put the bits of the message in the...
Convolutional sparse coding (CSC) plays an essential role in many computer vision applications ranging from image compression to deep learning. In this work, we spot the light on a new application where CSC can effectively serve, namely line drawing analysis. The process of drawing a line drawing can be approximated as the sparse spatial localization of a number of typical basic strokes, which in...
Encoding spatio-temporally varying textures is challenging for standardised video encoders, with significantly more bits required for textured blocks compared to non-textured blocks. It is therefore beneficial to understand video textures in terms of both their spatio-temporal characteristics and their encoding statistics in order to optimize coding modes and performance. To this end, we examine the...
Energy efficiency has become a primary concern in the design of multimedia digital systems, particularly when targeting mobile devices. Approximate computing is a highly promising approach to address this challenge. This paper presents an architectural exploration in a variable block size motion estimation (VBSME) architecture using imprecise Lower-Part-OR Adders (LOA). These adders were applied to...
Block-based motion estimation is the method of choice in most video codecs to exploit temporal redundancy for compression. Since true rate-distortion evaluation for every candidate block is usually impractical, simple estimates are used instead as a matching criterion, e.g., the Sum of Absolute Differences (SAD) between the target and the candidate blocks weighted by its respective motion vector cost...
Nowadays, the development of video coders is resulting in significantly increased performance. Among all coder categories, fine grain scalable video coders have the chance to show great advantage by freely extracting code-streams with different bitrates, resolutions, and frame rates from one source-coded bit file to satisfy the various requirements of subscribers in a multicast network. Based on the...
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