2018 Picture Coding Symposium (PCS)最新文献_第3页

Physical High Dynamic Range Imaging with Conventional Sensors 物理高动态范围成像与传统传感器

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456268

H. Meuel, H. Ackermann, B. Rosenhahn, J. Ostermann

{"title":"Physical High Dynamic Range Imaging with Conventional Sensors","authors":"H. Meuel, H. Ackermann, B. Rosenhahn, J. Ostermann","doi":"10.1109/PCS.2018.8456268","DOIUrl":"https://doi.org/10.1109/PCS.2018.8456268","url":null,"abstract":"This paper aims at simplified high dynamic range (HDR) image generation with non-modified, conventional camera sensors. One typical HDR approach is exposure bracketing, e.g. with varying shutter speeds. It requires to capture the same scene multiple times at different exposure times. These pictures are then merged into a single HDR picture which typically is converted back to an 8-bit image by using tone-mapping. Existing works on HDR imaging focus on image merging and tone mapping whereas we aim at simplified image acquisition. The proposed algorithm can be used in consumer-level cameras without hardware modifications at sensor level. Based on intermediate samplings of each sensor element during the total (pre-defined) exposure time, we extrapolate the luminance of sensor elements which are saturated after the total exposure time. Compared to existing HDR approaches which typically require three different images with carefully determined exposure times, we only take one image at the longest exposure time. The shortened total time between start and end of image acquisition can reduce ghosting artifacts. The experimental evaluation demonstrates the effectiveness of the algorithm.","PeriodicalId":433667,"journal":{"name":"2018 Picture Coding Symposium (PCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131689016","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: 0

PCS 2018 List Committees 个人电脑2018名单委员会

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/pcs.2018.8456312

引用次数: 0

A Method to Improve Perceptual Quality of Intra- Refresh-Enabled Low-Latency Video Coding 一种提高内刷新低延迟视频编码感知质量的方法

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456257

Wei Gao, I. Amer, Yang Liu, Gabor Sines

{"title":"A Method to Improve Perceptual Quality of Intra- Refresh-Enabled Low-Latency Video Coding","authors":"Wei Gao, I. Amer, Yang Liu, Gabor Sines","doi":"10.1109/PCS.2018.8456257","DOIUrl":"https://doi.org/10.1109/PCS.2018.8456257","url":null,"abstract":"A typical video encoder includes into the generated bit stream Instantaneous Decoder Refresh (IDR) units. This allows random access playback at the receiver side as well as graceful recovery from potential channel errors. Such forced IDR units typically come in repetitive patterns, which may negatively impact the perceived subjective quality if not handled properly. The reason is that the restricted encoding process of an IDR unit results in a different (regardless higher or lower) quality of reconstructed signal compared to the surrounding non-IDR ones. This causes eye-capturing irritating periodical artifacts when it occurs in patterns. This phenomenon gets to be even more pronounced when the intra refresh feature is enabled, since it forces IDR and nonIDR units to co-exist within the same picture, making the quality difference more noticeable. This paper proposes a method to hide such undesired patterns that naturally accompany the intra refresh feature. Two ideas are presented; the first one imposes restrictions that prevent unwanted fluctuations in the quantization levels between different regions of the picture, while the second hides the repetitive pattern by randomly forcing IDR blocks within specific regions of the refreshed picture. Results show that the proposed method results in improvements in subjective quality.","PeriodicalId":433667,"journal":{"name":"2018 Picture Coding Symposium (PCS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329185","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: 1

A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity JEM和AV1与HEVC的比较:编码工具、编码效率和复杂度

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456291

Thorsten Laude, Y. G. Adhisantoso, Jan Voges, Marco Munderloh, J. Ostermann

引用次数: 25

Decoding JPEG XS on a GPU 在GPU上解码JPEG XS

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456310

Volker Bruns, T. Richter, Bilal Ahmed, J. Keinert, S. Fößel

引用次数: 3

Optimized Non-local In-Loop Filter for Video Coding 优化的视频编码非局部环内滤波器

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456299

Xuewei Meng, Chuanmin Jia, Shanshe Wang, Xiaozhen Zheng, Siwei Ma

{"title":"Optimized Non-local In-Loop Filter for Video Coding","authors":"Xuewei Meng, Chuanmin Jia, Shanshe Wang, Xiaozhen Zheng, Siwei Ma","doi":"10.1109/PCS.2018.8456299","DOIUrl":"https://doi.org/10.1109/PCS.2018.8456299","url":null,"abstract":"In order to compensate the shortcomings of existing in-loop filters only based on local correlation in video coding standards, many non-local based loop filters with high coding performance and computational complexity are proposed. In this paper, we propose a fast block matching algorithm, adaptive two-step block matching algorithm, based on our previous work, structure-driven adaptive non-local filter (SANF) which is computationally intensive because of the high complexity of block matching and singular value decomposition (SVD). Our proposed algorithm based on image spatial statistical characteristics utilizes fixed template to select adaptive number of similar blocks according to image content, which can reduce up to 75.2% search candidates compared to exhaustive search in SANF and the adaptive determination strategy can remove blocks with less relation to reference block in similar block group which have little help for compression performance, and the remove of them can reduce the computational complexity of SVD. Our proposed optimization algorithm can save encoding and decoding time significantly with negligible performance loss, which achieves 70.7%, 84.4%, 80.82% and 81.95% decoding time saving with only 0.13%, 0.05%, 0.13% and 0.15% increases of BD-rate for AI, RA, LDB and LDP configurations, respectively compared to original SANF in JEM-7.0.","PeriodicalId":433667,"journal":{"name":"2018 Picture Coding Symposium (PCS)","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124688457","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: 4

Machine Learning Based Choice of Characteristics for the One-Shot Determination of the HEVC Intra Coding Tree 基于机器学习的HEVC编码树一次性确定特征选择

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456261

Alexandre Mercat, F. Arrestier, M. Pelcat, W. Hamidouche, D. Ménard

{"title":"Machine Learning Based Choice of Characteristics for the One-Shot Determination of the HEVC Intra Coding Tree","authors":"Alexandre Mercat, F. Arrestier, M. Pelcat, W. Hamidouche, D. Ménard","doi":"10.1109/PCS.2018.8456261","DOIUrl":"https://doi.org/10.1109/PCS.2018.8456261","url":null,"abstract":"In the last few years, the Internet of Things (IoT) has become a reality. Forthcoming applications are likely to boost mobile video demand to an unprecedented level. A large number of systems are likely to integrate the latest MPEG video standard High Efficiency Video Coding (HEVC) in the long run and will particularly require energy efficiency. In this context, constraining the computational complexity of embedded HEVC encoders is a challenging task, especially in the case of software encoders. The most energy consuming part of a software intra encoder is the determination of the coding tree partitioning, i.e. the size of pixel blocks. This determination usually requires an iterative process that leads to repeating some encoding tasks. State-of-the-art studies have focused on predicting, from “easily” computed characteristics, an efficient coding tree. They have proposed and evaluated independently many characteristics for one-shot quad-tree prediction. In this paper, we present a fair comparison of these characteristics using a Machine Learning approach and a real-time HEVC encoder. Both computational complexity and information gain are considered, showing that characteristics are far from equivalent in terms of coding tree prediction performance.","PeriodicalId":433667,"journal":{"name":"2018 Picture Coding Symposium (PCS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436474","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: 7

Image-Based Rendering using Point Cloud for 2D Video Compression 使用点云进行2D视频压缩的基于图像的渲染

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456267

H. Golestani, Thibaut Meyer, M. Wien

引用次数: 2

Fully-Automatic Inverse Tone Mapping Preserving the Content Creator’s Artistic Intentions 全自动逆色调映射保存内容创作者的艺术意图

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456253

Gonzalo Luzardo, J. Aelterman, H. Luong, W. Philips, Daniel Ochoa, Sven Rousseaux

引用次数: 14

360-Degree Video Quality Evaluation 360度视频质量评估

2018 Picture Coding Symposium (PCS) Pub Date : 2018-06-01 DOI: 10.1109/PCS.2018.8456255

Philippe Hanhart, Yuwen He, Yan Ye, J. Boyce, Z. Deng, Lidong Xu

引用次数: 14