2019 Picture Coding Symposium (PCS)最新文献_第2页

Intra-coding of 360-degree images on the sphere 球体上360度图像的内部编码

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954538

Navid Mahmoudian Bidgoli, Thomas Maugey, A. Roumy

引用次数: 2

PCS 2019 Copyright Page PCS 2019版权页面

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/pcs48520.2019.8954528

引用次数: 0

Bypassing Depth Maps Transmission For Immersive Video Coding 为沉浸式视频编码绕过深度图传输

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954543

Patrick Garus, Joël Jung, Thomas Maugey, C. Guillemot

引用次数: 11

A Robust Circular Two-Dimensional Barcode and Decoding Method 一种鲁棒圆形二维条码及其解码方法

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954533

Fuwang Yi, Guangtao Zhai, Zehao Zhu

引用次数: 2

Deep Scalable Image Compression via Hierarchical Feature Decorrelation 基于层次特征去相关的深度可伸缩图像压缩

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954536

Zongyu Guo, Zhizheng Zhang, Zhibo Chen

引用次数: 7

Compound Palette Mode for Screen Content Coding 屏幕内容编码的复合调色板模式

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954517

Weijia Zhu, Jizheng Xu, Li Zhang, Kai Zhang, Hongbin Liu, Yue Wang

引用次数: 4

A Novel Deep Progressive Image Compression Framework 一种新的深度渐进图像压缩框架

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954500

Chunlei Cai, Li Chen, Xiaoyun Zhang, Guo Lu, Zhiyong Gao

{"title":"A Novel Deep Progressive Image Compression Framework","authors":"Chunlei Cai, Li Chen, Xiaoyun Zhang, Guo Lu, Zhiyong Gao","doi":"10.1109/PCS48520.2019.8954500","DOIUrl":"https://doi.org/10.1109/PCS48520.2019.8954500","url":null,"abstract":"In Internet applications, compressing the image without perceptually distinguishable distortions and loading the images without notable delays in the client end can significantly improve the user experience. Compressing the image at high bit rates can maintain the high quality of the decoded image but in cost of long transmitting and decoding time, resulting in bad user experience. The progressive coding scheme can resolve the conflict between the high quality requirement and the large loading delay. This paper proposes a novel efficient progressive image coding framework based on deep convolutional neural networks. The proposed framework is composed of a uniform encoder network and two progressive decoder networks. The encoder network decomposes the input image into two scales of representations, that can be transmitted and reconstructed progressively into a basic quality preview image and a high-quality image by two individual decoder networks respectively. All the networks are jointly learned when achieving the rate distortion optimization of both scales. Experiments results show that the proposed method has much better coding performance than the commercial codecs WebP and JPEG, which are commonly used in Internet applications. Meanwhile, the proposed codec consumes much less time to load the image compared with WebP.","PeriodicalId":237809,"journal":{"name":"2019 Picture Coding Symposium (PCS)","volume":"74 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122151163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Implicit Transform Selection based on Cross Color Component Prediction for Future Video Coding 未来视频编码中基于交叉色分量预测的隐式变换选择

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954526

Shimpei Nemoto, S. Iwamura, A. Ichigaya

引用次数: 1

Hardware-friendly DST-VII/DCT-VIII approximations for the Versatile Video Coding Standard 硬件友好的DST-VII/DCT-VIII近似通用视频编码标准

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954535

W. Hamidouche, P. Philippe, C.-E. Mohamed, Ahmed Kammoun, D. Ménard, O. Déforges

{"title":"Hardware-friendly DST-VII/DCT-VIII approximations for the Versatile Video Coding Standard","authors":"W. Hamidouche, P. Philippe, C.-E. Mohamed, Ahmed Kammoun, D. Ménard, O. Déforges","doi":"10.1109/PCS48520.2019.8954535","DOIUrl":"https://doi.org/10.1109/PCS48520.2019.8954535","url":null,"abstract":"Versatile Video Coding (VVC) is the next generation video coding standard expected by the end of 2020. The new concept of Multiple-Transform Selection (MTS) has been introduced in VVC. MTS enables the VVC encoder to select the transform that minimizes the rate-distortion cost among a set of pre-defined trigonometric transforms including the well known Discrete Cosine Transform (DCT)-II, DCT-VIII and Discrete Sine Transform (DST)-VII. Unlike the DCT-II that has fast computing algorithms, the DST-VII and DCT-VIII rely on more complex matrix multiplication.This paper tackles the problem of DST-VII and DCT-VIII approximations based on the DCT-II and an adjustment stage. This latter consists in a multiplication by a band-matrix with low number of non-zero coefficients per row. The approximation problem is first modeled as a constrained integer optimization problem minimizing both error and orthogonality. The genetic algorithm is then used to solve the optimization problem and find the adjustment band-matrix that minimizes a trade-off between error and orthogonality. The proposed solution enables to preserve the coding gain achieved by the MTS and considerably reduces the complexity in terms of required number of multiplications by coefficient. Moreover, the proposed approach is hardwarefriendly and will provide a lightweight shared hardware module for DST-II, DST-VII and DCT-VIII transforms.","PeriodicalId":237809,"journal":{"name":"2019 Picture Coding Symposium (PCS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124111476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Predicting Rate Control Target Through A Learning Based Content Adaptive Model 基于学习的内容自适应模型预测速率控制目标

2019 Picture Coding Symposium (PCS) Pub Date : 2019-11-01 DOI: 10.1109/PCS48520.2019.8954541

Huaifei Xing, Zhichao Zhou, Jialiang Wang, Huifeng Shen, Dongliang He, Fu Li

引用次数: 6