2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)最新文献_第3页

SIQ288: A saliency dataset for image quality research SIQ288:图像质量研究的显著性数据集

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813334

Wei Zhang, Hantao Liu

{"title":"SIQ288: A saliency dataset for image quality research","authors":"Wei Zhang, Hantao Liu","doi":"10.1109/MMSP.2016.7813334","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813334","url":null,"abstract":"Saliency modelling for image quality research has been an active topic in multimedia over the last five years. Saliency aspects have been added to many image quality metrics (IQMs) to improve their performance in predicting perceived quality. However, challenges to optimising the performance of saliency-based IQMs remain. To make further progress, a better understanding of human attention deployment in relation to image quality through eye-tracking experimentation is indispensable. Collecting substantial eye-tracking data is often confronted with a bias due to the involvement of massive stimulus repetition that typically occurs in an image quality study. To mitigate this problem, we proposed a new experimental methodology with dedicated control mechanisms, which allows collecting more reliable eye-tracking data. We recorded 5760 trials of eye movements from 160 human observers. Our dataset consists of 288 images representing a large degree of variability in terms of scene content, distortion type as well as degradation level. We illustrate how saliency is affected by the variations of image quality. We also compare state of the art saliency models in terms of predicting where people look in both original and distorted scenes. Our dataset helps investigate the actual role saliency plays in judging image quality, and provides a benchmark for gauging saliency models in the context of image quality.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130621818","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: 5

Laplacian one class extreme learning machines for human action recognition 用于人类行为识别的拉普拉斯一类极限学习机

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813387

V. Mygdalis, Alexandros Iosifidis, A. Tefas, I. Pitas

引用次数: 4

Effect of content features on short-term video quality in the visual periphery 内容特征对视觉周边短期视频质量的影响

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813350

Yashas Rai, Ahmed Aldahdooh, Suiyi Ling, M. Barkowsky, P. Callet

{"title":"Effect of content features on short-term video quality in the visual periphery","authors":"Yashas Rai, Ahmed Aldahdooh, Suiyi Ling, M. Barkowsky, P. Callet","doi":"10.1109/MMSP.2016.7813350","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813350","url":null,"abstract":"The area outside our central field of vision, also referred to as the visual periphery, captures most information in a visual scene, although much less sensitive than the central Fovea. Vision studies in the past have stated that there is reduced sensitivity of texture, color, motion and flicker (temporal harmonic) perception in this area, that bears an interesting application in the domain of quality perception. In this work, we particularly analyze the perceived subjective quality of videos containing H.264/AVC transmission impairments, incident at various degrees of retinal eccentricities of observers. We relate the perceived drop in quality, to five basic types of features that are important from a perceptive standpoint: texture, color, flicker, motion trajectory distortions and also the semantic importance of the underlying regions. We are able to observe that the perceived drop in quality across the visual periphery, is closely related to the Cortical Magnification fall-off characteristics of the V1 cortical region. Additionally, we see that while object importance and low frequency spatial distortions are important indicators of quality in the central foveal region, temporal flicker and color distortions are the most important determinants of quality in the periphery. We therefore conclude that, although users are more forgiving of distortions they viewed peripherally, they are nevertheless not totally blind towards it: the effects of flicker and color distortions being particularly important.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122047540","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

Boosting in image quality assessment 提升图像质量评估

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813335

Dogancan Temel, G. Al-Regib

{"title":"Boosting in image quality assessment","authors":"Dogancan Temel, G. Al-Regib","doi":"10.1109/MMSP.2016.7813335","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813335","url":null,"abstract":"In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. On the contrary of existing studies that propose a single quality estimator, we investigate the generalizability of multi-method fusion as a framework. In addition to support vector machines that are commonly used in the multi-method fusion studies, we propose using neural networks in the boosting. To span different types of image quality assessment algorithms, we use quality estimators based on fidelity, perceptually-extended fidelity, structural similarity, spectral similarity, color, and learning. In the experiments, we perform k-fold cross validation using the LIVE, the multiply distorted LIVE, and the TID 2013 databases and the performance of image quality assessment algorithms are measured via accuracy-, linearity-, and ranking-based metrics. Based on the experiments, we show that boosting methods generally improve the performance of image quality assessment and the level of improvement depends on the type of the boosting algorithm. Our experimental results also indicate that boosting the worst performing quality estimator with two or more methods lead to statistically significant performance enhancements independent of the boosting technique and neural network-based boosting outperforms support vector machine-based boosting when two or more methods are fused.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128777524","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

Segmentation based 3D depth watermarking using SIFT 基于SIFT分割的三维深度水印

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813367

Shuvendu Rana, S. Gaj, A. Sur, P. Bora

引用次数: 1

Two-way real time multimedia stream authentication using physical unclonable functions 使用物理不可克隆功能的双向实时多媒体流认证

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813398

Mehrdad Zaker Shahrak, Mengmei Ye, Viswanathan Swaminathan, Sheng Wei

引用次数: 6

Multiple human detection in depth images 深度图像中的多人检测

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813385

M. H. Khan, Kimiaki Shirahama, M. S. Farid, M. Grzegorzek

引用次数: 22

Hierarchical differential image filters for skin analysis 用于皮肤分析的分层差分图像滤波器

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813384

Jingyi Zhang, P. Aarabi

引用次数: 0

Delay-rate-distortion optimization for cloud-based collaborative rendering 基于云的协同渲染延迟率失真优化

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813405

Xiaoming Nan, Yifeng He, L. Guan

{"title":"Delay-rate-distortion optimization for cloud-based collaborative rendering","authors":"Xiaoming Nan, Yifeng He, L. Guan","doi":"10.1109/MMSP.2016.7813405","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813405","url":null,"abstract":"Cloud rendering is emerged as a new cloud service to satisfy user's desire for running sophisticated graphics applications on thin devices. However, traditional cloud rendering approaches, both remote rendering and local rendering, have limitations. Remote rendering shifts intensive rendering tasks to cloud server and streams rendered frames to client, which suffers from high delay and bandwidth usage. Local rendering sends graphics data to client and performs rendering on local devices, which requires initial buffering delay and demands high computation capacity at client. In this paper, we propose a novel cloud based collaborative rendering framework, which adaptively integrates remote rendering and local rendering. Based on the proposed framework, we study the delay-Rate-Distortion (d-R-D) optimization problem, in which the source rates are optimally allocated for streaming encoded video frames and graphics data to minimize the overall distortion under the bandwidth and response delay constraints. Experiment results demonstrate that the proposed collaborative rendering framework can effectively allocate source rates to achieve the minimal distortion compared to the traditional remote rendering and local rendering.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122712166","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

Hybrid video object tracking in H.265/HEVC video streams H.265/HEVC视频流中的混合视频对象跟踪

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813363

Serhan Gül, Jan Timo Meyer, C. Hellge, T. Schierl, W. Samek

引用次数: 20