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Compressive sensing has gained momentum in recent years as an exciting new theory in signal processing with several useful applications. It states that signals known to have a sparse representation may be encoded and later reconstructed using a small number of measurements, approximately proportional to the signal's sparsity rather than its size. This paper addresses a critical problem that arises...
In distributed single-view video coding (DSVC) or distributed multiview video coding (DMVC), the compression performance is greatly affected by the quality of side information (SI). Most existing DSVC or DMVC schemes generate SI by employing motion estimation (ME) at the decoder. Since the original frame is unavailable, the ME accuracy is low. In this paper we propose a novel distributed coding scheme...
To tackle the problem of lacking auxiliary information while generating the side information, we have proposed a novel spatial aided low delay Wyner-Ziv video coding scheme in which the wavelet transformation is applied to generate the auxiliary information. However, there exists an inefficiency that lowers the coding performance. The inefficiency is that many wavelet coefficients having very small...
This paper proposes an improved Distributed Compressive Video Sensing (DCVS) framework based on adaptive sparse basis, which integrates the recently emerging Distributed Video Coding (DVC) and Compressive Sensing (CS) theory. The proposed framework incorporates a low-complexity encoder and shifts most computation burden to the decoder-side. At the encoder, the video frames are sampled independently...
In this paper, a two-user discrete memoryless multiple-access channel (DM-MAC) with correlated channel states, each known at one of the encoders is considered, in which each encoder transmits independent messages and tries to cooperate with the other one. To consider cooperating encoders, it is assumed that each encoder strictly-causally receives and learns the other encoder's transmitted symbols...
Distributed video coding (DVC) is considered as one promising video coding scheme for Wireless Video Sensor Network (WVSN) due to its high compression efficiency and error resilience functionalities, as well as the low encoding complexity. This paper presents an improved DVC scheme based on the source classification in wavelet domain. In this scheme, the new side information (SI) refinement method...
Interactive multiview video streaming (IMVS) is an application that streams to a client one out of N available video views for observation, but client can periodically request switches to neighboring views as the video is played back uninterrupted in time. Previous IMVS works focused on the design of a frame structure at encoding time, trading off expected transmission rate with storage, without knowing...
Distributed Video Coding (DVC) is a coding paradigm where video statistics are exploited, partially or totally, at the decoder. The performance of such a codec depends on the accuracy of the soft-input information estimated at the decoder, which is affected by the quality of the side information (SI) and the dependency model. This paper studies the discrepancies between the bit planes of the Wyner-Ziv...
In distributed video coding, motion estimation is typically performed at the decoder to generate the side information, increasing the decoder complexity while providing low complexity encoding in comparison with predictive video coding. Motion estimation can be performed once to create the side information or several times to refine the side information quality along the decoding process. In this...
Some video applications require the use of extremely simple source coding techniques. For these applications, Modulo-PCM is an interesting alternative to PCM since it has a very low complexity and performs better than PCM. In this paper, we present an adaptive Modulo-PCM algorithm for image coding. Our algorithm divides the image into blocks and performs a proper Modulo-PCM coding of each block. Since...
In this paper, a fast algebraic decoding algorithm (ADA) is proposed to correct all patterns of five errors or less in the binary systematic (71, 36, 11) quadratic residue (QR) code. The method is based on the modification of the ADAs developed by Reed et al and Lin et al. The new conditions and the error-locator polynomials for decoding this code will be derived. Besides, a computer search shows...
ICs have become pervasive in practically all electronic applications and products. Continuous innovation and tailoring design techniques have spawned several IC designs catering to distinct uses. The paper highlights the matters of comparison of Integrated Circuit (IC) Layout Designs (LDs) using industry standard and custom Electronic Computer Aided Design (ECAD) tools and reports their performance...
In multi-view Distributed Video Coding, Side Information can be computed either from previously decoded frames in the same view, or from previously decoded frames in adjacent views. In this paper, we address the problem of effectively fusing these two predictions. For this purpose, we propose two Support Vector Machine based fusion algorithms. We also identify a number of features to be used in classification...
In distributed video coding, the side information is commonly generated by motion-compensated temporal interpolation of the neighboring reference frames at the decoder side. The side information quality has a strong impact on the final rate-distortion performance of the codec. In this paper, we propose a successive refinement after the decoding of each DCT subband to improve the accuracy of motion...
Video coding and compression reduce the storage space and/or the bandwidth required to transmit video. Multiview video systems make use of more than one camera to describe a scene and therefore demand more computing resources and energy consumption to compress and transmit video data. In this paper, we present an energy management framework for multiview systems that combines the two major video coding...
The supplier selection is one of the most important components of production and logistics management for many companies. The supplier selection problem involves different kinds of words in which all of the criteria are weighted using one kind of words and the performance evaluations for all sub-criteria are another kind of words. How to aggregate these words without losing information is a very daunting...
This paper presents a simple innovative Design for Test (DFT) solution for removing one of the major sources of Xs (unknown outputs) during scan testing. The DFT called Harmony Widget is inserted at state elements that a scan test may load with illegal or unspecified state thus causing circuit to misbehave or produce indeterminate or unknown outputs (Xs). The DFT used is far simpler than the current...
Quantizer design for lossy compression with mismatched side information (SI) at the decoder is investigated. The statistical dependency between the source and SI is assumed to be a function of a random variable, dependency variable (DV). According to the available information about the DV, three design methods are proposed; namely, minimax solution, Average Distribution and Multi-Mode Decoder. The...
Side information (SI) generation plays a key-role in determining the performance of the Distributed Video Coding System (DVC). Current approaches to DVC rely on motion-compensated interpolation (MCTI) to generate at the decoder the SI which is an estimation of the frame being decoded. This work presents a novel MCTI algorithm. In the proposed scheme, motion estimation utilizes only the low-frequency...
Wyner-Ziv video coding is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. It shifts the complexity to the decoder, resulting in a low- complexity encoder suitable for mobile video communications and visual sensor networks. This paper presents an improved Wyner-Ziv video coding scheme for sensor network. An improved key frame encoding...
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