2012 IEEE International Conference on Multimedia and Expo Workshops最新文献_第4页

A Novel Edge Detection Framework by Component Tree Construction 通过构件树构建新颖的边缘检测框架

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.99

Zhijun Dai, Yihong Wu, Youji Feng

引用次数: 0

3D Pose Estimation of Front Vehicle Towards a Better Driver Assistance System 面向更好的驾驶员辅助系统的前车三维姿态估计

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.97

Yu Peng, Jesse S. Jin, S. Luo, Min Xu, Yue Cui

{"title":"3D Pose Estimation of Front Vehicle Towards a Better Driver Assistance System","authors":"Yu Peng, Jesse S. Jin, S. Luo, Min Xu, Yue Cui","doi":"10.1109/ICMEW.2012.97","DOIUrl":"https://doi.org/10.1109/ICMEW.2012.97","url":null,"abstract":"Driver assistance system enhances traffic safety and efficiency. Accurate 3D pose of front vehicle can help driver to make right decisions on road. We propose a novel real-time system to estimate 3D pose of the front vehicle. This system consists of two parallel threads: vehicle rear tracking and mapping. Vehicle rear is firstly identified in the video captured by an on-board camera, after license plate localization and foreground extraction. 3D pose estimation technique is then employed with respect to extracted vehicle rear. Most 3D pose estimation techniques need prior models or a stereo initialization with user cooperation. It is extremely difficult to obtain prior models due to various appearances of vehicle rears. Moreover, it is unsafe to ask for driver's cooperation when vehicle is running. In our system, two initial key frames for stereo algorithm are automatically extracted by vehicle rear detection and tracking. Map points are defined as a collection of point features extracted from vehicle rear with their 3D information. These map points are inferences that relating 2D features detected in following vehicle rears with 3D world. Relative 3D Pose between current vehicle rear and on-board camera is then estimated through mapping that matches map points with current point features. We demonstrate the abilities of our system by augmented reality, which needs accurate and real-time 3D pose estimation.","PeriodicalId":385797,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129968414","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: 2

Lossless Compression of Stereo Disparity Maps for 3D 无损压缩立体视差地图为3D

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.113

M. Zamarin, Søren Forchhammer

引用次数: 17

Video Summarization with Global and Local Features 具有全局和局部特征的视频摘要

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.105

Genliang Guan, Zhiyong Wang, Kaimin Yu, Shaohui Mei, Mingyi He, D. Feng

{"title":"Video Summarization with Global and Local Features","authors":"Genliang Guan, Zhiyong Wang, Kaimin Yu, Shaohui Mei, Mingyi He, D. Feng","doi":"10.1109/ICMEW.2012.105","DOIUrl":"https://doi.org/10.1109/ICMEW.2012.105","url":null,"abstract":"Video summarization has been crucial for effective and efficient access of video content due to the ever increasing amount of video data. Most of the existing key frame based summarization approaches represent individual frames with global features, which neglects the local details of visual content. Considering that a video generally depicts a story with a number of scenes in different temporal order and shooting angles, we formulate scene summarization as identifying a set of frames which best covers the key point pool constructed from the scene. Therefore, our approach is a two-step process, identifying scenes and selecting representative content for each scene. Global features are utilized to identify scenes through clustering due to the visual similarity among video frames of the same scene, and local features to summarize each scene. We develop a key point based key frame selection method to identify representative content of a scene, which allows users to flexibly tune summarization length. Our preliminary results indicate that the proposed approach is very promising and potentially robust to clustering based scene identification.","PeriodicalId":385797,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116383070","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: 33

An Improved Pruning Method Based on the Number of States Possessed by Hypotheses 一种基于假设状态数的改进剪枝方法

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.106

Junyao Shao, Gang Liu, Zhiyuan Guo, Baoxiang Li, Yueming Lu

引用次数: 0

L-infinite Coding of 3D Representations of Human Affect 人类情感三维表征的l -无限编码

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.14

Ruxandra-Marina Florea, Leon Denis, J. Lievens, P. Schelkens, A. Munteanu

引用次数: 1

A Hybrid Coded Block Patterns Based Fast Mode Decision in H.264/AVC H.264/AVC中基于混合编码块模式的快速模式判定

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.10

Zhiru Shi, W. Fernando, A. Kondoz

引用次数: 2

Distributed Area of Interest Management for Large-Scale Immersive Video Conferencing 大规模沉浸式视频会议的分布式兴趣区管理

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.31

Pedram Pourashraf, F. Safaei, D. Franklin

引用次数: 4

Vehicle Type Classification Using PCA with Self-Clustering 基于PCA的自聚类车辆类型分类

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.73

Yu Peng, Jesse S. Jin, S. Luo, Min Xu, Yue Cui

{"title":"Vehicle Type Classification Using PCA with Self-Clustering","authors":"Yu Peng, Jesse S. Jin, S. Luo, Min Xu, Yue Cui","doi":"10.1109/ICMEW.2012.73","DOIUrl":"https://doi.org/10.1109/ICMEW.2012.73","url":null,"abstract":"Different conditions, such as occlusions, changes of lighting, shadows and rotations, make vehicle type classification still a challenging task, especially for real-time applications. Most existing methods rely on presumptions on certain conditions, such as lighting conditions and special camera settings. However, these presumptions usually do not work for applications in real world. In this paper, we propose a robust vehicle type classification method based on adaptive multi-class Principal Components Analysis (PCA). We treat car images captured at daytime and night-time separately. Vehicle front is extracted by examining vehicle front width and the location of license plate. Then, after generating eigenvectors to represent extracted vehicle fronts, we propose a PCA method with self-clustering to classify vehicle type. The comparison experiments with the state of art methods and real-time evaluations demonstrate the promising performance of our proposed method. Moreover, as we do not find any public database including sufficient desired images, we built up online our own database including 4924 high-resolution images of vehicle front view for further research on this topic.","PeriodicalId":385797,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133536192","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: 34

A Multi-User Interaction System Based on Kinect and Wii Remote 基于Kinect和Wii遥控器的多用户交互系统

2012 IEEE International Conference on Multimedia and Expo Workshops Pub Date : 2012-07-09 DOI: 10.1109/ICMEW.2012.123

Yihua Lou, Wenjun Wu, Hui Zhang, Haikuo Zhang, Yongquan Chen

引用次数: 8