2015 IEEE International Symposium on Multimedia (ISM)最新文献_第8页

Contour-Based Depth Coding: A Subjective Quality Assessment Study 基于轮廓的深度编码:一种主观质量评价研究

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.34

Marco Calemme, Marco Cagnazzo, B. Pesquet-Popescu

{"title":"Contour-Based Depth Coding: A Subjective Quality Assessment Study","authors":"Marco Calemme, Marco Cagnazzo, B. Pesquet-Popescu","doi":"10.1109/ISM.2015.34","DOIUrl":"https://doi.org/10.1109/ISM.2015.34","url":null,"abstract":"Multi-view video plus depth is emerging as the most flexible format for 3D video representation, as witnessed by the current standardization efforts by ISO and ITU. The depth information allows synthesizing virtual view points, and for its compression various techniques have been proposed. It is generally recognized that a high quality view rendering at the receiver side is possible only by preserving the contour information since distortions on edges during the encoding step would cause a sensible degradation on the synthesized view and on the 3D perception. As a consequence recent approaches include contour-based coding of depths. However, the impact of contour-preserving depth-coding on the perceived quality of synthesized images has not been conveniently studied. Therefore in this paper we make an investigation by means of a subjective study to better understand the limits and the potentialities of the different techniques. Our results show that the contour information is indeed relevant in the synthesis step: preserving the contours and coding coarsely the rest typically leads to images that users cannot tell apart from the reference ones, even at low bit rate. Moreover, our results show that objective metrics that are commonly used to evaluate synthesized images may have a low correlation coefficient with MOS rates and are in general not consistent across several techniques and contents.","PeriodicalId":250353,"journal":{"name":"2015 IEEE International Symposium on Multimedia (ISM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129168199","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

Multi-modality Mobile Image Recognition Based on Thermal and Visual Cameras 基于热相机和视觉相机的多模态移动图像识别

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.120

Jui-Hsin Lai, Chung-Ching Lin, Chun-Fu Chen, Ching-Yung Lin

引用次数: 1

Fine-Grained Scalable Video Caching 细粒度可扩展的视频缓存

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.81

Qiushi Gong, J. Woods, K. Kar, Jacob Chakareski

引用次数: 4

Multiple Human Monitoring with Wireless Fiber-Optic Multimedia Sensor Networks 基于无线光纤多媒体传感器网络的多人监控

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.123

Qingquan Sun

引用次数: 0

TRACE: Linguistic-Based Approach for Automatic Lecture Video Segmentation Leveraging Wikipedia Texts 利用维基百科文本的基于语言的自动演讲视频分割方法

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.18

R. Shah, Yi Yu, A. Shaikh, Roger Zimmermann

{"title":"TRACE: Linguistic-Based Approach for Automatic Lecture Video Segmentation Leveraging Wikipedia Texts","authors":"R. Shah, Yi Yu, A. Shaikh, Roger Zimmermann","doi":"10.1109/ISM.2015.18","DOIUrl":"https://doi.org/10.1109/ISM.2015.18","url":null,"abstract":"In multimedia-based e - learning systems, the accessibility and searchability of most lecture video content is still insufficient due to the unscripted and spontaneous speech of the speakers. Moreover, this problem becomes even more challenging when the quality of such lecture videos is not sufficiently high. To extract the structural knowledge of a multi-topic lecture video and thus make it easily accessible it is very desirable to divide each video into shorter clips by performing an automatic topic-wise video segmentation. To this end, this paper presents the TRACE system to automatically perform such a segmentation based on a linguistic approach using Wikipedia texts. TRACE has two main contributions: (i) the extraction of a novel linguistic-based Wikipedia feature to segment lecture videos efficiently, and (ii) the investigation of the late fusion of video segmentation results derived from state-of-the-art algorithms. Specifically for the late fusion, we combine confidence scores produced by the models constructed from visual, transcriptional, and Wikipedia features. According to our experiments on lecture videos from VideoLectures.NET and NPTEL, the proposed algorithm segments knowledge structures more accurately compared to existing state-of-the-art algorithms. The evaluation results are very encouraging and thus confirm the effectiveness of TRACE.","PeriodicalId":250353,"journal":{"name":"2015 IEEE International Symposium on Multimedia (ISM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127773560","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: 35

WAMINet: An Open Source Library for Dynamic Geospace Analysis Using WAMI WAMINet:一个使用WAMI进行动态地球空间分析的开源库

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.66

M. Maurice, Matt Piekenbrock, Derek Doran

引用次数: 0

Precise Skin-Tone and Under-Tone Estimation by Large Photo Set Information Fusion 基于大照片集信息融合的精确肤色和底色估计

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.61

P. Aarabi, Benzakhar Manashirov, Edmund Phung, Kyung Moon Lee

引用次数: 2

Quantitative Evaluation of Hair Texture 头发质地的定量评价

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.43

W. Guo, P. Aarabi

引用次数: 0

Development of a Web-Based Haptic Authoring Tool for Multimedia Applications 基于web的多媒体应用触觉创作工具的开发

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.71

Haiwei Dong, Yu Gao, Hussein Al Osman, Abdulmotaleb El Saddik

引用次数: 7

Normalized Gaussian Distance Graph Cuts for Image Segmentation 归一化高斯距离图切割图像分割

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.36

Chengcai Leng, W. Xu, I. Cheng, Z. Xiong, A. Basu

引用次数: 1