2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)最新文献_第8页

Similarity learning for template-based visual tracking 基于模板的视觉跟踪相似性学习

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890723

Xiuzhuang Zhou, Lu Kou, Hui Ding, Xiaoyan Fu, Yuanyuan Shang

{"title":"Similarity learning for template-based visual tracking","authors":"Xiuzhuang Zhou, Lu Kou, Hui Ding, Xiaoyan Fu, Yuanyuan Shang","doi":"10.1109/ICMEW.2014.6890723","DOIUrl":"https://doi.org/10.1109/ICMEW.2014.6890723","url":null,"abstract":"Most existing discriminative models for visual tracking are often formulated as supervised learning of a binary classification function, whose continuous output is then cast into a specific tracking framework as the confidence of the visual target. We argue that this might be less accurate since the classifier is learned for making binary decision, rather than predicting the similarity score between the candidate image patches and the true target. On the other hand, a generative tracker aims at learning a compact object representation for updating of the visual appearance. This, however, ignores the useful information from background regions surroundding the visual target, and hence might not well separate the visual target from the background distracters. We propose in this work a visual tracking scheme, in which a similarity function is explicitly learned in a generative tracking framework to significantly alleviate the drifting problem suffered by many existing trackers. Experimental results on various challenging human sequences, involving significant appearance changes, severe occlusions, and cluttered backgrounds, demonstrate the effectiveness of our approach compared to the state-of-the-art alternatives.","PeriodicalId":178700,"journal":{"name":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126367703","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

Assessing quality of experience for adaptive HTTP video streaming 评估自适应HTTP视频流的体验质量

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890604

Jingteng Xue, Dong-Qing Zhang, H. H. Yu, Chang Wen Chen

{"title":"Assessing quality of experience for adaptive HTTP video streaming","authors":"Jingteng Xue, Dong-Qing Zhang, H. H. Yu, Chang Wen Chen","doi":"10.1109/ICMEW.2014.6890604","DOIUrl":"https://doi.org/10.1109/ICMEW.2014.6890604","url":null,"abstract":"In this paper, we present a novel subjective quality model for online adaptive movie streaming service. The proposed model considers the Quality of Experience (QoE) of streaming video viewing as a cumulative evaluation process of consecutive segments that compose a story line. Under bandwidth constraint, streaming client may select lower-quality segment, pause playback for re-buffering, or both. The momentary QoE loss at these events are weighted by the content suspension level. Meanwhile such experience penalty remains to influence user's opinion for the rest of the service. If the picture becomes too noisy or the interruptions occur consistently, the user may stop watching. The proposed scheme includes two parts. First, a parametric model estimates the quality loss of a interfered segment based on its network-level packet characteristics. Second, a cumulative function integrates the impact of streaming events. Both steps demand minimum computation and can be updated in real time. A subjective test to train and validate the proposed parametric model is designed and performed. This model is fundamentally different from all existing QoE assessment schemes in that temporally cumulative viewing experience of the users, instead of simple global statistics, is evaluated.","PeriodicalId":178700,"journal":{"name":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124850968","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: 45

Modeling a realistic 3D physiological tongue for visual speech synthesis 模拟一个真实的三维生理舌头，用于视觉语音合成

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890595

Chen Jiang, Changwei Luo, Jun Yu, Rui Li, Zengfu Wang

引用次数: 5

Reducing structure of deep Convolutional Neural Networks for Huawei Accurate and Fast Mobile Video Annotation Challenge 面向华为移动视频准确快速标注挑战的深度卷积神经网络降维结构

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890608

Yunlong Bian, Yuan Dong, Hongliang Bai, Bo Liu, Kai Wang, Yinan Liu

引用次数: 4

Non-intrusive quality assessment for enhanced speech signals based on spectro-temporal features 基于频谱时间特征的增强语音信号非侵入性质量评估

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890561

Qiaohong Li, Yuming Fang, Weisi Lin, D. Thalmann

引用次数: 13

Feature extraction of complex ocean flow field using the helmholtz-hodge decomposition 基于helmholtz-hodge分解的复杂海洋流场特征提取

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890546

Huan Wang, Junhui Deng

引用次数: 5

Comparative analysis of online 2-D and 3-D video sharing 在线2-D和3-D视频共享的对比分析

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890574

Soobeom Jang, Jong-Seok Lee

引用次数: 1

Ontology driven contextual tagging of multimedia data 本体驱动的多媒体数据上下文标记

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890703

N. Pahal, S. Chaudhury, Brejesh Lall

{"title":"Ontology driven contextual tagging of multimedia data","authors":"N. Pahal, S. Chaudhury, Brejesh Lall","doi":"10.1109/ICMEW.2014.6890703","DOIUrl":"https://doi.org/10.1109/ICMEW.2014.6890703","url":null,"abstract":"To exhibit multi-modal information and to facilitate people in finding multimedia resources, tagging plays a significant role. Various public events like protests and demonstrations are always consequences of break out of some public outrage resulting from prolonged exploitation and harassment. This outrage can be seen in news footage, blogs, text news and other web data. So, aggregating this variety of data from heterogeneous sources is a prerequisite step for tagging multimedia data with appropriate content. Since content has no meaning without a context, a video should be tagged with its relevant context and content information to assist user in multimedia retrieval. This paper proposes a model for tagging of multimedia data on the basis of contextual meaning. Since context is knowledge based, it has to be guided and learned by ontology which will help fragmented information to be represented in a more meaningful way. Our tagging approach is novel and has practical applicability in the sense that whenever a new video is uploaded on some media sharing site, the context and content information gets attached automatically to a video. Thus, providing relatively complete information associated with the video.","PeriodicalId":178700,"journal":{"name":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130432478","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

[Demo paper] learning to beautify facial image 【演示论文】学习美化面部形象

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890625

Chengze Li, Xiaoyun Yuan, Juyong Zhang, Xiaoxin Lv, Lu Fang, O. Au

引用次数: 1

Influence of social media on performance of movies 社交媒体对电影表现的影响

2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Pub Date : 2014-07-14 DOI: 10.1109/ICMEW.2014.6890664

Shruti, S. Roy, W. Zeng

引用次数: 12