2015 IEEE International Symposium on Multimedia (ISM)最新文献_第2页

Nonlocal Adaptive In-Loop Filter via Content-Dependent Soft-Thresholding for HEVC 基于内容相关软阈值的HEVC非局部自适应环内滤波

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.56

Xinfeng Zhang, Weisi Lin, Shiqi Wang, Siwei Ma

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引用次数: 8

Error Protection with Extended Dual Frame Motion Compensation 扩展双帧运动补偿的错误保护

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.103

Da Liu, Li Wang, Chunyan Li, Y. Hao, Fang Yin

引用次数: 1

On Influencing Mobile Live Video Broadcasting Users 浅谈影响移动视频直播用户

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.110

Stefan Wilk, Dimitri Wulffert, W. Effelsberg

引用次数: 10

MOOC-DASH: A DASH System for Delivering High-Quality MOOCs Videos MOOC-DASH:提供高质量mooc视频的DASH系统

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.15

Yi Wang, Wenjun Wu, Yihua Lou

引用次数: 3

An Automatic Video Reinforcing System Based on Popularity Rating of Scenes and Level of Detail Controlling 基于场景人气分级和细节控制的视频自动增强系统

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.31

Yuanyuan Wang, Yukiko Kawai, K. Sumiya, Y. Ishikawa

{"title":"An Automatic Video Reinforcing System Based on Popularity Rating of Scenes and Level of Detail Controlling","authors":"Yuanyuan Wang, Yukiko Kawai, K. Sumiya, Y. Ishikawa","doi":"10.1109/ISM.2015.31","DOIUrl":"https://doi.org/10.1109/ISM.2015.31","url":null,"abstract":"With the advance of video-on-demand (VOD) services such as Netfix, users are able to watch many kinds of videos anytime and anywhere. While watching a video, recently, users often search related information about it through the Web by using mobile PC. However, users cannot satisfactorily understand and enjoy it because the video keeps playing when they search about it. It is necessary to detect various questions of the video to supplement their related information about each scene for automatic search. However, only one video includes various topics of each scene, furthermore, viewers have different levels of knowledge. Therefore, we have developed a novel automatic video reinforcing system, called TV-Binder, it generates new video contents from one video stream related to viewers' interests and knowledge by adding other related contents (i.e., YouTube videos, images or maps) and by removing unnecessary original scenes, based on topics of each scene. As a result, viewers can satisfy and joyfully watch modified video contents without searching anything. At first, our system extract topics and detect their scenes of a video stream by using closed captions. The system then searches other necessary contents and determines unwanted original scenes based on popularity rating of each original scene and level of detail (LOD) controlling under time pressure. Through this, TV-Binder can automatically generate video contents are classified into four quadrants by two axes, one is digest and detailed videos, the other one is videos for experts with knowledge about particular topics and ordinary viewers without special knowledge. In this paper, we discuss our automatic video reinforcing system and an evaluation of its effectiveness.","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":"129747243","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: 3

Customer Behavior Recognition in Retail Store from Surveillance Camera 基于监控摄像头的零售商店顾客行为识别

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.52

Jingwen Liu, Yanlei Gu, S. Kamijo

{"title":"Customer Behavior Recognition in Retail Store from Surveillance Camera","authors":"Jingwen Liu, Yanlei Gu, S. Kamijo","doi":"10.1109/ISM.2015.52","DOIUrl":"https://doi.org/10.1109/ISM.2015.52","url":null,"abstract":"The analysis of customer behavior from surveillance camera is one of the most important open topics for marketing. We develop a system to recognize different customer behaviors on the front of shelf: no interest, viewing, turning to shelf, touching, picking and returning to shelf and picking and putting into basket, which show customer's increasing interest to products. In the proposed system, head orientation, body orientation, and arm action, the multiple cues are integrated for the customer behavior recognition. The proposed system discretizes the head and body orientation of customer into 8 directions to estimate whether the customer is looking or turning to the merchandise shelf. Semi-Supervised Learning method is applied to optimize the training dataset and to generate an accurate classifier. As for the arm action recognition, a novel combined hand feature (CHF), which includes hand trajectory, tracking status and the relative position between hand and shopping basket, is proposed to describe different arm actions. The CHF is classified by Dynamic Bayesian Network (DBN) into different arm actions. A series of experiments demonstrate the effectiveness of the proposed methods and the performance to the developed system.","PeriodicalId":250353,"journal":{"name":"2015 IEEE International Symposium on Multimedia (ISM)","volume":"29 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":"130050573","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: 19

Human Action Recognition Using Hybrid Centroid Canonical Correlation Analysis 基于混合质心典型相关分析的人体动作识别

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.118

Nour El-Din El-Madany, Yifeng He, L. Guan

引用次数: 8

Fast Face Model Reconstruction and Synthesis Using an RGB-D Camera and Its Subjective Evaluation RGB-D相机快速人脸模型重建与合成及其主观评价

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.107

T. Yamasaki, I. Nakamura, K. Aizawa

引用次数: 2

User Reachability in Multi-Apps Environment 多应用环境下的用户可达性

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.91

Kundan Singh

引用次数: 1

Implications of Short Term Memory Research for the Design of Spaced Repetition Based Mobile Learning Games 短期记忆研究对基于间隔重复的移动学习游戏设计的启示

2015 IEEE International Symposium on Multimedia (ISM) Pub Date : 2015-12-01 DOI: 10.1109/ISM.2015.13

Florian Schimanke, Sophie Ribbers, R. Mertens, O. Vornberger

引用次数: 4