2017 IEEE International Conference on Multimedia and Expo (ICME)最新文献_第10页

Reconstruction-based supervised hashing 基于重构的监督哈希

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019353

Xin Yuan, Z. Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou

引用次数: 5

3D action recognition using data visualization and convolutional neural networks 使用数据可视化和卷积神经网络的三维动作识别

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019438

Mengyuan Liu, Chen Chen, Hong Liu

引用次数: 16

Semantic-aware adaptation scheme for soccer video over MPEG-DASH 基于MPEG-DASH的足球视频语义感知自适应方案

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019541

Shenghong Hu, Lingfen Sun, Chunxia Xiao, Chao Gui

{"title":"Semantic-aware adaptation scheme for soccer video over MPEG-DASH","authors":"Shenghong Hu, Lingfen Sun, Chunxia Xiao, Chao Gui","doi":"10.1109/ICME.2017.8019541","DOIUrl":"https://doi.org/10.1109/ICME.2017.8019541","url":null,"abstract":"In recent years, quality of experience (QoE) has been investigated and proved to have both influential factors on user's visual quality and perceptual quality, while the perceptual quality means user's requirement on personalized content should be acquired in optimized quality. That's to say, those segments holding user interested content such as highlights need to be allocated more network resource in a resource-limited streaming scenario. However, all the existing HTTP-based adaptive methods only focus the content-agnostic bitrate adaptation according to limited network resources or energy resource, since they ignored user perceived semantics on some important segments, which suffered less quality on the important segments than on those ordinary ones, so as to hurt the overall QoE. In this paper, we have proposed a new semantic-aware adaptation scheme for MPEG-DASH services, which decides how to preserve bandwidth and buffering time depending on content descriptors for the perceived important content to users. Further, a semantic-aware probe and adaptation (SMA-PANDA) algorithm has been implemented in a DASH client to compare with conventional bitrate adaptions. Preliminary results show that SMA-PANDA achieves better QoE and flexibility on streaming user's interested content on MPEG-DASH platform, and it also aggressively helps user interested content compete more resource to deliver high quality presentation.","PeriodicalId":330977,"journal":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","volume":"1 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":"130028711","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: 6

An ensemble metric learning scheme for face recognition 人脸识别的集成度量学习方案

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019473

Anirud Thyagharajan, A. Routray

引用次数: 2

Asymmetric sparse hashing 非对称稀疏散列

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019306

Xin Gao, Fumin Shen, Yang Yang, Xing Xu, Hanxi Li, Heng Tao Shen

{"title":"Asymmetric sparse hashing","authors":"Xin Gao, Fumin Shen, Yang Yang, Xing Xu, Hanxi Li, Heng Tao Shen","doi":"10.1109/ICME.2017.8019306","DOIUrl":"https://doi.org/10.1109/ICME.2017.8019306","url":null,"abstract":"Learning based hashing has become increasingly popular because of its high efficiency in handling the large scale image retrieval. Preserving the pairwise similarities of data points in the Hamming space is critical in state-of-the-art hashing techniques. However, most previous methods ignore to capture the local geometric structure residing on original data, which is essential for similarity search. In this paper, we propose a novel hashing framework, which simultaneously optimizes similarity preserving hash codes and reconstructs the locally linear structures of data in the Hamming space. In specific, we learn two hash functions such that the resulting two sets of binary codes can well preserve the pairwise similarity and sparse neighborhood in the original feature space. By taking advantage of the flexibility of asymmetric hash functions, we devise an efficient alternating algorithm to optimize the hash coding function and high-quality binary codes jointly. We evaluate the proposed method on several large-scale image datasets, and the results demonstrate it significantly outperforms recent state-of-the-art hashing methods on large-scale image retrieval problems.","PeriodicalId":330977,"journal":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","volume":"7 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":"134357861","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

Context-aware video recommendation based on session progress prediction 基于会话进度预测的上下文感知视频推荐

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019458

Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar

引用次数: 7

Random forest classification based acoustic event detection 基于随机森林分类的声事件检测

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019452

Xianjun Xia, R. Togneri, Ferdous Sohel, David Huang

引用次数: 19

Flipping and blending based highly robust in-plane and out-of-plane color face detection 基于翻转和混合的高度鲁棒的面内和面外彩色人脸检测

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019295

Yu-Hsuan Tsai, Yih-Cherng Lee, Jian-Jiun Ding, Ronald Y. Chang

引用次数: 0

Efficient graph-based matrix completion on incomplete animated models 不完整动画模型的高效基于图的矩阵补全

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019502

Evangelos Vlachos, A. Lalos, K. Moustakas, K. Berberidis

引用次数: 8

Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning 基于情境补丁的人脸幻觉阈值定位约束表征与再现学习

2017 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2017-07-01 DOI: 10.1109/ICME.2017.8019459

Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Guo-Jun Qi, Akiko Aizawa

{"title":"Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning","authors":"Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Guo-Jun Qi, Akiko Aizawa","doi":"10.1109/ICME.2017.8019459","DOIUrl":"https://doi.org/10.1109/ICME.2017.8019459","url":null,"abstract":"Face hallucination, which refers to predicting a HighResolution (HR) face image from an observed Low-Resolution (LR) one, is a challenging problem. Most state-of-the-arts employ local face structure prior to estimate the optimal representations for each patch by the training patches of the same position, and achieve good reconstruction performance. However, they do not take into account the contextual information of image patch, which is very useful for the expression of human face. Different from position-patch based methods, in this paper we leverage the contextual information and develop a robust and efficient context-patch face hallucination algorithm, called Thresholding Locality-constrained Representation with Reproducing learning (TLcR-RL). In TLcR-RL, we use a thresholding strategy to enhance the stability of patch representation and the reconstruction accuracy. Additionally, we develop a reproducing learning to iteratively enhance the estimated result by adding the estimated HR face to the training set. Experiments demonstrate that the performance of our proposed framework has a substantial increase when compared to state-of-the-arts, including recently proposed deep learning based method.","PeriodicalId":330977,"journal":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","volume":"40 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":"133577302","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: 18