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Telemoji: A video chat with automated recognition of facial expressions

Telemoji: A video chat with automated recognition of facial ...

引用

IEEE visual communications and image processing (VCIP)

作者： Alex Kreinis Tom Damri Tomer Leon Marina Litvak Irina Rabaev Shamoon College of Engineering Israel

ISBN: (纸本)9781728173221

Autism spectrum disorder (ASD) is frequently ac-companied by impairment in emotional expression recognition, and therefore individuals with ASD may find it hard to interpret emotions and interact. Inspired by this fact, we developed a web-based video chat to assist people with ASD, both for real-time recognition of facial emotions and for practicing. This real-time application detects the speaker's face in a video stream and classifies the expressed emotion into one of the seven categories: neutral, surprise, happy, angry, disgust, fear, and sad. The classification is then displayed as the text label below the speaker's face. We developed this application as a part of the undergraduate project for the ***. degree in Software Engineering. Its development and testing were made with the cooperation of the local society for children and adults with autism. The application has been released for unrestricted use on https://***/. The demo is available at http://***/telemojishortdemoblur.

关键词： Emotion recognition Autism image recognition visual communication Face recognition Streaming media Real-time systems

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Distortion-based Neural Network for Compression Artifacts Reduction in VVC

Distortion-based Neural Network for Compression Artifacts Re...

引用

IEEE visual communications and image processing (VCIP)

作者： Jian Qian Hongkui Wang Li Yu Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781728173221

To reduce compression artifacts in video coding, prior knowledge from the codec is often utilized by deep learning based enhancement methods. However, most existing algorithms only take limited kinds of prior knowledge into consideration and directly feed it into neural networks, resulting in finite information obtained by the enhancement module. In this paper, a distortion-based neural network is proposed to better take advantage of features from the codec and further facilitate the quality of decoded videos. Firstly, a variety of prior knowledge is unitedly exploited to estimate the compression distortion. Secondly, an estimation module is also designed for the information obtained from the codec to improve the precision of estimation. With the accurately estimated distortion level, the enhancement module in the proposed method could reduce the corresponding artifacts by flexibly controlling the filtering strength. Moreover, the proposed method is integrated into VTM-7.1, achieving on average 5.92% BD-rate saving for Y component under All Intra configuration.

关键词： Knowledge engineering Codecs image coding visual communication Neural networks Estimation Distortion

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Analysis of VVC Intra Prediction Block Partitioning Structure

Analysis of VVC Intra Prediction Block Partitioning Structur...

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IEEE visual communications and image processing (VCIP)

作者： Mário Saldanha Gustavo Sanchez César Marcon Luciano Agostini Federal University of Pelotas-Graduate Program in Computing (PPGC) Pelotas Brazil IF Farroupilha Alegrete Brazil Pontificial Catholic University of Rio Grande do Sul- Porto Alegre Brazil

ISBN: (纸本)9781728173221

This paper presents an encoding time and encoding efficiency analysis of the Quadtree with nested Multi-type Tree (QTMT) structure in the Versatile Video Coding (VVC) intra-frame prediction. The QTMT structure enables VVC to improve the compression performance compared to its predecessor standard at the cost of a higher encoding complexity. The intra-frame prediction time raised about 26 times compared to the HEVC reference software, and most of this time is related to the new block partitioning structure. Thus, this paper provides a detailed description of the VVC block partitioning structure and an in-depth analysis of the QTMT structure regarding coding time and coding efficiency. Based on the presented analyses, this paper can guide outcoming works focusing on the block partitioning of the VVC intra-frame prediction.

关键词： Video coding image coding Costs visual communication Focusing Software Computational complexity

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Nanopore Sequencing Simulator for DNA Data Storage

Nanopore Sequencing Simulator for DNA Data Storage

引用

IEEE visual communications and image processing (VCIP)

作者： Eva Gil San Antonio Thomas Heinis Louis Carteron Melpomeni Dimopoulou Marc Antonini Laboratoire I3S UMR 7271 Université Côte d'Azur CNRS Sophia Antipolis France Imperial College London London United Kingdom

ISBN: (纸本)9781728173221

The exponential increase of digital data and the limited capacity of current storage devices have made clear the need for exploring new storage solutions. Thanks to its biological properties, DNA has proven to be a potential candidate for this task, allowing the storage of information at a high density for hundreds or even thousands of years. With the release of nanopore sequencing technologies, DNA data storage is one step closer to become a reality. Many works have proposed solutions for the simulation of this sequencing step, aiming to ease the development of algorithms addressing nanopore-sequenced reads. However, these simulators target the sequencing of complete genomes, whose characteristics differ from the ones of synthetic DNA. This work presents a nanopore sequencing simulator targeting synthetic DNA on the context of DNA data storage.

关键词： Sequential analysis visualization image coding visual communication DNA Memory Genomics

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Learning in Compressed Domain for Faster Machine Vision Tasks

Learning in Compressed Domain for Faster Machine Vision Task...

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IEEE visual communications and image processing (VCIP)

作者： Jinming Liu Heming Sun Jiro Katto Waseda University Tokyo Japan Waseda Research Institute for Science and Engineering Waseda University Tokyo Japan JST PRESTO Kawaguchi Saitama Japan

ISBN: (纸本)9781728173221

Learned image compression (LIC) has illustrated good ability for reconstruction quality driven tasks (e.g. PSNR, MS-SSIM) and machine vision tasks such as image understanding. However, most LIC frameworks are based on pixel domain, which requires the decoding process. In this paper, we develop a learned compressed domain framework for machine vision tasks. 1) By sending the compressed latent representation directly to the task network, the decoding computation can be eliminated to reduce the complexity. 2) By sorting the latent channels by entropy, only selective channels will be transmitted to the task network, which can reduce the bitrate. As a result, compared with the traditional pixel domain methods, we can reduce about 1/3 multiply-add operations (MACs) and 1/5 inference time while keeping the same accuracy. Moreover, proposed channel selection can contribute to at most 6.8% bitrate saving.

关键词： image coding visual communication Machine vision Bit rate Entropy Decoding Task analysis

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CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability

CAESR: Conditional Autoencoder and Super-Resolution for Lear...

引用

IEEE visual communications and image processing (VCIP)

作者： Charles Bonnincau Wassim Hamidouche Jean-François Travers Naty Sidaty Jean-Yves Aubié Olivier Deforges IRT b<>com Cesson-Sevigne France TDF Cesson-Sevigne France Univ Rennes INSA Rennes CNRS IETR - UMR 6164 Rennes France

ISBN: (纸本)9781728173221

In this paper, we present CAESR, an hybrid learning-based coding approach for spatial scalability based on the versatile video coding (VVC) standard. Our framework considers a low-resolution signal encoded with VVC intra-mode as a base-layer (BL), and a deep conditional autoencoder with hyperprior (AE-HP) as an enhancement-layer (EL) model. The EL encoder takes as inputs both the upscaled BL reconstruction and the original image. Our approach relies on conditional coding that learns the optimal mixture of the source and the upscaled BL image, enabling better performance than residual coding. On the decoder side, a super-resolution (SR) module is used to recover high-resolution details and invert the conditional coding process. Experimental results have shown that our solution is competitive with the VVC full-resolution intra coding while being scalable.

关键词： Video coding Training image coding visual communication Scalability Superresolution Encoding

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Cascadable Stochastic Logic for DNA Storage

Cascadable Stochastic Logic for DNA Storage

引用

IEEE visual communications and image processing (VCIP)

作者： Arnav Solanki Tonglin Chen Marc Riedel University of Minnesota Minneapolis Minnesota USA

ISBN: (纸本)9781728173221

Ever since Watson and Crick first described the molecular structure of DNA, its information-bearing potential has been apparent to computer scientists. This has led to a concerted effort in academia and industry to deliver practical DNA data storage systems. This paper presents a novel approach for both storage and computation with DNA. Data is stored in the form of analog values of the relative concentration of different DNA molecules. Computation is in the form of cas-cadable NAND operations, effected via toehold-mediated strand displacement reactions operating on these concentration values. Results were verified with the “Peppercorn Enumerator,” a recent software tool for analyzing domain-level strand displacement. In all cases, the relative error in output concentration was less than 0.03%. The approach is robust to encoding errors and cross-hybridization. It does not rely on long DNA strands, which are expensive to synthesize. It opens new avenues for storage and computing, including the implementation of a wide range of useful mathematical functions in vitro.

关键词： Industries image coding visual communication Buffer storage DNA Software tools In vitro

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Two Stage Optimal Bit Allocation for HEVC Hierarchical Coding Structure

Two Stage Optimal Bit Allocation for HEVC Hierarchical Codin...

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IEEE visual communications and image processing (VCIP)

作者： Zizheng Liu Zhenzhong Chen Shan Liu School of Remote Sensing and Information Engineering Wuhan University Wuhan China Tencent Media Lab Palo AltoCAUSA

ISBN: (纸本)9781728173221

In this paper, we propose a two stage optimal bit allocation scheme for HEVC hierarchical coding structure. The two stage, i.e., the frame-level and the CTU-level bit allocation, are separately conducted in the traditional rate control methods. In our proposed method, the optimal allocation in the second stage is firstly considered, and then the allocation strategy in the second stage is deemed as a foreknowledge in the first stage and applied to guide the frame-level bit allocation. With the formulation, the two stage bit allocation problem can be converted to a joint optimization problem. By solving the formulated optimization problem, the two stage optimal bit allocation scheme is established, in which more appropriate number of bits can be allocated to each frame and each CTU. The experimental results show that our proposed method can bring higher coding efficiency while satisfying the constraint of bit rate precisely.

关键词： image coding visual communication Bit rate Rate-distortion Process control Resource management Optimization

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Two-stage Parallax Correction and Multi-stage Cross-view Fusion Network Based Stereo image Super-Resolution

Two-stage Parallax Correction and Multi-stage Cross-view Fus...

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IEEE visual communications and image processing (VCIP)

作者： Yijian Zheng Sumei Li School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9781728173221

Stereo image super-resolution (SR) has achieved great progress in recent years. However, the two major problems of the existing methods are that the parallax correction is insufficient and the cross-view information fusion only occurs in the beginning of the network. To address these problems, we propose a two-stage parallax correction and a multi-stage cross-view fusion network for better stereo image SR results. Specially, the two-stage parallax correction module consists of horizontal parallax correction and refined parallax correction. The first stage corrects horizontal parallax by parallax attention. The second stage is based on deformable convolution to refine horizontal parallax and correct vertical parallax simultaneously. Then, multiple cascaded enhanced residual spatial feature transform blocks are developed to fuse cross-view information at multiple stages. Extensive experiments show that our method achieves state-of-the-art performance on the KITTI2012, KITTI2015, Middlebury and Flickr1024 datasets.

关键词： Fuses visual communication Convolution Superresolution Transforms Benchmark testing Spatial resolution

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9th International conference on image processing and communications, IP and C 2017

9th International Conference on Image Processing and Communi...

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9th International conference on image processing and communications, IP and C 2017

ISBN: (纸本)9783319687193

The proceedings contain 22 papers. The special focus in this conference is on image processing and communications. The topics include: Binary line oriented histogram;image search enhanced by using external data sources and reasoning;linguistic description of images based on fuzzy histograms;using toboggan segmentation in detection of centers and radius of cell nuclei;evaluation of the pre-processing methods in image-based palmprint biometrics;on the way to perfect steganography;PET waste classification method and plastic waste database – wadaba;estimation of geometrical deformations of 3D prints using local cross-correlation and monte carlo sampling;quality assessment of 3D printed surfaces in fourier domain;the adaboost algorithm with linear modification of the weights;evaluation of hashing methods performance on binary feature descriptors;efficient parallelization methods of labeling algorithm;modeling telecommunication networks with the use of reference graphs;QoS concept for protecting network resources - a case study;acceleration of genome sequencing with intelligent cloud brokers;learning management systems on blended learning courses;technology and software for calculating correct normalization of correlation functions;running sports decision aid tool based on reinforcement learning approach;framework for evaluating QoE for remote control of autonomous cars in mobile wireless networks;practical advices for university teachers and comparison of visual descriptors for 3D reconstruction of non-rigid planar surfaces.

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