2017 IEEE International Conference on Multimedia and Expo (ICME)最新文献_第6页

Edge-preserving disparity map estimation from stereo videos for bokeh synthesis 基于散景合成的立体视频保边视差图估计

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019534

Wei-Lun Lan, Shih-Hsuan Yao, S. Lai

引用次数: 1

Residual convolution network based steganalysis with adaptive content suppression 基于残差卷积网络的自适应内容抑制隐写分析

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019304

Songtao Wu, S. Zhong, Yan Liu

引用次数: 22

CP-operated dash caching via reinforcement learning 通过强化学习的cp操作的破折号缓存

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019496

Zhengyuan Pang, Lifeng Sun, Zhi Wang, Wen Hu, Shiqiang Yang

{"title":"CP-operated dash caching via reinforcement learning","authors":"Zhengyuan Pang, Lifeng Sun, Zhi Wang, Wen Hu, Shiqiang Yang","doi":"10.1109/ICME.2017.8019496","DOIUrl":"https://doi.org/10.1109/ICME.2017.8019496","url":null,"abstract":"In recent years, Dynamic Adaptive Streaming over HTTP (DASH) has gained momentum as an effective solution for delivering videos on the Internet. This trend is further driven by the deployment of existing HTTP cache infrastructures in DASH systems to reduce the traffic load as well as to serve clients better. However, deploying conventional cache servers in DASH systems still suffers from low cache hit ratio and bitrate oscillations, which makes it challenging for content providers (CPs) to balance the user-perceived quality-of-experience (QoE) and the operating cost in cache-enabled DASH systems. To address this challenge, we propose a CP-operated DASH caching framework to provide good user QoE with low cost. In particular, we first formulate the caching decision problem as a stochastic optimization problem over a finite time horizon. The objective of this problem is to maximize a weighted sum of the user QoE and the operating cost, termed as the utility. Then we design a reinforcement learning based online algorithm which can obtain approximately optimal solution of this problem. Through extensive trace-driven experiments, we show that our approach not only achieves 40% average improvement of the overall utility compared to baseline approaches, but also adapts to the server load.","PeriodicalId":330977,"journal":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122363542","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

Saliency map generation based on saccade target theory 基于扫视目标理论的显著性图生成

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019456

Yue Wu, Zhenzhong Chen

引用次数: 8

Feature guided non-rigid image/surface deformation via moving least squares with manifold regularization 通过流形正则化的移动最小二乘，特征引导非刚性图像/表面变形

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019423

Huabing Zhou, Jiayi Ma, Yanduo Zhang, Zhenghong Yu, Shiqiang Ren, Deng Chen

{"title":"Feature guided non-rigid image/surface deformation via moving least squares with manifold regularization","authors":"Huabing Zhou, Jiayi Ma, Yanduo Zhang, Zhenghong Yu, Shiqiang Ren, Deng Chen","doi":"10.1109/ICME.2017.8019423","DOIUrl":"https://doi.org/10.1109/ICME.2017.8019423","url":null,"abstract":"In this paper, a novel closed-form transformation estimation method based on feature guided moving least squares together with manifold regularization is proposed for nonrigid image/surface deformation. The method takes the user-controlled point-offset-vectors and the feature points of the image/surface as input, and estimates the spatial transformation between the two control point sets for each pixel/voxel. To achieve a detail-preserving and realistic deformation, the transformation estimation is formulated as a vector-field interpolation problem using a feature guided moving least squares method, where a manifold regularization is imposed as a prior on the transformation to capture the underlying intrinsic geometry of the input image/surface. The non-rigid transformation is specified in a reproducing kernel Hilbert space. We derive a closed-form solution of the transformation and adopt a sparse approximation to achieve a fast implementation, which largely reduces the computation complexity without performance sacrifice. In addition, the proposed method can give a wonderful user experience, fast and convenient manipulating. Extensive experiments on both 2D and 3D data demonstrate that the proposed method can produce more natural deformations compared with other state-of-the-art methods.","PeriodicalId":330977,"journal":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122172017","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: 13

Scanpath mining of eye movement trajectories for visual attention analysis 用于视觉注意分析的眼动轨迹扫描路径挖掘

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019507

Aoqi Li, Yingxue Zhang, Zhenzhong Chen

{"title":"Scanpath mining of eye movement trajectories for visual attention analysis","authors":"Aoqi Li, Yingxue Zhang, Zhenzhong Chen","doi":"10.1109/ICME.2017.8019507","DOIUrl":"https://doi.org/10.1109/ICME.2017.8019507","url":null,"abstract":"Eye movement reflects the shift of overt visual attention. Eye movement trajectories from a group of observers can be expressed by a representative scanpath. The representative scan-path can work as a baseline for studies on scanpath prediction as well as provide useful knowledge about group behavior in psychological studies. In this paper, we propose a new framework to summarize a representative scanpath from individual scanpaths, taking into account the spatial distribution of scan-paths rather than simply treating them as strings of characters. It consists of three steps: extract areas of interest (AOI), remove outliers and summarize scanpaths. In the last step, we develop an algorithm termed Candidate-constrained DTW Barycenter Algorithm (CDBA) by imposing 3 constraints: (1) the components of the representative scanpath must be chosen from candidates (extracted AOIs); (2) the occurrence count of each AOI in the representative scanpath cannot exceed its maximum occurrence count in individual scanpaths; (3) any two contiguous AOIs in the representative scanpath must be contiguous in at least one individual scanpath. The experiments demonstrate that the proposed method outperforms other state-of-the-art scanpath mining methods.","PeriodicalId":330977,"journal":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130396197","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: 10

Steered mixture-of-experts for light field coding, depth estimation, and processing 操纵混合专家光场编码，深度估计和处理

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019442

Ruben Verhack, T. Sikora, Lieven Lange, Rolf Jongebloed, G. Wallendael, P. Lambert

引用次数: 35

Estimating relative depth in single images via rankboost 通过rankboost估计单幅图像的相对深度

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019434

R. Ewerth, Matthias Springstein, Eric Müller, Alexander Balz, Jan Gehlhaar, T. Naziyok, K. Dembczynski, E. Hüllermeier

引用次数: 5

Pixel-level guided face editing with fully convolution networks 像素级引导的面部编辑与完全卷积网络

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019363

Zhenxi Li, Juyong Zhang

引用次数: 4

Hyper-spectral image reconstruction based on SL0-SL0 minimization 基于SL0-SL0最小化的高光谱图像重建

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019380

Xinyue Zhang, Xudong Zhang

引用次数: 0