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2012 IEEE International Conference on Multimedia and Expo最新文献

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Video Gaze Prediction: Minimizing Perceptual Information Loss 视频凝视预测:最小化感知信息损失
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.191
Junyong You
{"title":"Video Gaze Prediction: Minimizing Perceptual Information Loss","authors":"Junyong You","doi":"10.1109/ICME.2012.191","DOIUrl":"https://doi.org/10.1109/ICME.2012.191","url":null,"abstract":"Automatic detection of visually interesting regions and gaze points plays an important role in many video applications. Due to limited ability of the human visual system (HVS) when processing visual stimuli at any instant, a natural function of gaze changes is to collect as much information as possible to form an accurate understanding of the visual scene. This paper proposes an automatic gaze prediction algorithm by modeling such function. An improved foveal imaging model is developed by taking visual attention and temporal visual characteristics into account. Gaze changes are predicted based on minimizing perceptual information loss due to the foveated vision mechanism. Experimental results against a video eye-tracking database demonstrate a promising performance of the proposed gaze prediction algorithm.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123457920","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: 7
A Hierarchical Model for Human Interaction Recognition 人类互动识别的层次模型
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.67
Yu Kong, Yunde Jia
{"title":"A Hierarchical Model for Human Interaction Recognition","authors":"Yu Kong, Yunde Jia","doi":"10.1109/ICME.2012.67","DOIUrl":"https://doi.org/10.1109/ICME.2012.67","url":null,"abstract":"Recognizing human interactions is a challenging task due to partially occluded body parts and motion ambiguities in interactions. We observe that the interdependencies existing at both action level and body part level greatly help disambiguate similar individual movements and facilitate human interaction recognition. In this paper, we propose a novel hierarchical model to capture such interdependencies for recognizing interactions of two persons. We model the action of each person by a large-scale global feature and several body part features. Two types of contextual information are exploited in our model to capture the implicit and complex interdependencies between interaction class, the action classes of two persons and the labels of persons' body parts. We build a challenging human interaction dataset to test our method. Results show that our model is quite effective in recognizing human interactions.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123659835","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: 15
Spiking and Blocking Events Detection and Analysis in Volleyball Videos 排球视频中扣球和拦网事件的检测与分析
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.174
Chun-Chieh Hsu, Hua-Tsung Chen, Chien-Li Chou, Suh-Yin Lee
{"title":"Spiking and Blocking Events Detection and Analysis in Volleyball Videos","authors":"Chun-Chieh Hsu, Hua-Tsung Chen, Chien-Li Chou, Suh-Yin Lee","doi":"10.1109/ICME.2012.174","DOIUrl":"https://doi.org/10.1109/ICME.2012.174","url":null,"abstract":"In volleyball matches, spiking is the most effective way to gain points, while blocking is the action to prevent the opponents from getting scores by spiking. In this paper, we propose an intelligent system for automatic spiking events detection and blocking pattern classification in real volleyball videos. First, the entire videos are segmented into clips of rallies by whistle detection. Then, we find the court region based on proper camera calibration, and detect the location of the net for judging the positions of spiking and blocking. Via analyzing the changes of moving pixels along the net, we make a bounding box around the blocking location, so as to classify the blocking patterns into two main categories based on the width of bounding box. Finally, two important tactic patterns, delayed spiking and alternate position spiking, are recognized. With the information of spiking events and blocking locations, we can collect the statistical data and make tactics inference easily. To the best of our knowledge, no previous work is focused on spiking or blocking event detection. The experimental results on the videos recorded by a university volleyball team are promising and demonstrate the effectiveness of our proposed scheme.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129710285","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: 9
Group Recommendation Using External Followee for Social TV 利用外部关注者进行社交电视群体推荐
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.122
Xiaoyan Wang, Lifeng Sun, Zhi Wang, Da Meng
{"title":"Group Recommendation Using External Followee for Social TV","authors":"Xiaoyan Wang, Lifeng Sun, Zhi Wang, Da Meng","doi":"10.1109/ICME.2012.122","DOIUrl":"https://doi.org/10.1109/ICME.2012.122","url":null,"abstract":"Group recommendation plays a significant role in Social TV systems, where online friends form into temporary groups to enjoy watching video together and interact with each other. Online microblogging systems introduce the \"following\" relationship that reflects the common interests between users in a group and external representative followees outside the group. Traditional group recommendation only considers internal group members' preferences and their relationship. In our study, we measure the external followees' impact on group interest and establish group preference model based on external experts' guidance for group recommendation. In addition, we take advantage of the current watching video to improve context-aware recommendations. Experimental results show that our solution works much better in situations of high group dynamic and inactive group members than traditional approaches.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131177877","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: 21
Topology Preserved Regular Superpixel 拓扑保留规则超像素
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.184
Dai Tang, H. Fu, Xiaochun Cao
{"title":"Topology Preserved Regular Superpixel","authors":"Dai Tang, H. Fu, Xiaochun Cao","doi":"10.1109/ICME.2012.184","DOIUrl":"https://doi.org/10.1109/ICME.2012.184","url":null,"abstract":"Most existing super pixel algorithms ignore the topology and regularities, which results in undesirable sizes and location relationships for subsequent processing. In this paper, we introduce a new method to compute the regular super pixels while preserving the topology. Start from regular seeds, our method relocates them to the pixel with locally maximal edge magnitudes. Then, we find the local optimal path between each relocated seed and its four neighbors using Dijkstra algorithm. Thanks to the local constraints, our method obtains homogeneous super pixels with explicit adjacency in low-texture and uniform regions and, simultaneously, maintains the edge cues in the high contrast and salient contents. Quantitative and qualitative experimental results on Berkeley Segmentation Database Benchmark demonstrate that our proposed algorithm outperforms the existing regular super pixel methods.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873516","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: 42
A Novel Framework for 3D Computer Animation Systems for Nonprofessional Users Using an Automatic Rigging Algorithm 基于自动装配算法的面向非专业用户的三维计算机动画系统框架
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.70
N. Pantuwong, Masanori Sugimoto
{"title":"A Novel Framework for 3D Computer Animation Systems for Nonprofessional Users Using an Automatic Rigging Algorithm","authors":"N. Pantuwong, Masanori Sugimoto","doi":"10.1109/ICME.2012.70","DOIUrl":"https://doi.org/10.1109/ICME.2012.70","url":null,"abstract":"This paper presents a novel framework for developing automatic animation systems, which accept a 3D model that is created at runtime. Previous systems cannot deal with such a 3D model because it needs to be prepared by a manual process (rigging) that may not be suitable for nonprofessional users. The proposed framework solves this problem by employing an automatic rigging algorithm. Our algorithm can generate an animation skeleton for a given 3D model automatically, including the anatomical meaning of each joint. The relationship between motion data and this animation skeleton is created by identifying the corresponding joints in the motion data and the skeleton. The motion data for each joint is transferred automatically to the 3D model that has been rigged via our automatic rigging algorithm. Because all processes can be completed without any user intervention, an animation system for nonprofessional users is therefore available. We also discuss several motion editing techniques that can be used to generate new motion data without complex processing.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122151859","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: 0
Human Detection Using Wavelet-Based CS-LBP and a Cascade of Random Forests 基于小波的CS-LBP和随机森林级联的人体检测
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.124
Deok-Yeon Kim, Joon-Young Kwak, ByoungChul Ko, J. Nam
{"title":"Human Detection Using Wavelet-Based CS-LBP and a Cascade of Random Forests","authors":"Deok-Yeon Kim, Joon-Young Kwak, ByoungChul Ko, J. Nam","doi":"10.1109/ICME.2012.124","DOIUrl":"https://doi.org/10.1109/ICME.2012.124","url":null,"abstract":"In this paper, we propose a novel human detection approach combining wavelet-based center symmetric LBP (WCS-LBP) with a cascade of random forests. To detect human regions, we first extract three types of WCS-LBP features from a scanning window of wavelet transformed sub-images to reduce the feature dimension. Then, the extracted WCS-LBP descriptors are applied to a cascade of random forests, which are ensembles of random decision trees. Using a cascade of random forests with WCS-LBP, human detection is performed in near real-time, and the detection accuracy is also increased, as compared to combinations of other features and classifiers. The proposed algorithm is successfully applied to various human and non-human images from the INRIA dataset, and it performs better than other related algorithms.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127336325","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: 13
Efficient Single Image Super-Resolution via Graph Embedding 高效的单图像超分辨率通过图嵌入
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.102
Junjun Jiang, R. Hu, Zhen Han, Kebin Huang, T. Lu
{"title":"Efficient Single Image Super-Resolution via Graph Embedding","authors":"Junjun Jiang, R. Hu, Zhen Han, Kebin Huang, T. Lu","doi":"10.1109/ICME.2012.102","DOIUrl":"https://doi.org/10.1109/ICME.2012.102","url":null,"abstract":"We explore in this paper efficient algorithmic solutions to single image super-resolution (SR). We propose the GESR, namely Graph Embedding Super-Resolution, to super-resolve a high-resolution (HR) image from a single low-resolution (LR) observation. The basic idea of GESR is to learn a projection matrix mapping the LR image patch to the HR image patch space while preserving the intrinsic geometrical structure of original HR image patch manifold. While GESR resembles other manifold learning-based SR methods in persevering the local geometric structure of HR and LR image patch manifold, the innovation of GESR lies in that it preserves the intrinsic geometrical structure of original HR image patch manifold rather than LR image patch manifold, which may be contaminated because of image degeneration (e.g., blurring, down-sampling and noise). Experiments on benchmark test images show that GESR can achieve very competitive performance as Neighbor Embedding based SR (NESR) and Sparse representation based SR (SSR). Beyond subjective and objective evaluation, all experiments show that GESR is much faster than both NESR and SSR.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114482975","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: 17
Macro-Block-Level Selective Background Difference Coding for Surveillance Video 监控视频宏块级选择性背景差分编码
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.136
Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, Wen Gao
{"title":"Macro-Block-Level Selective Background Difference Coding for Surveillance Video","authors":"Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, Wen Gao","doi":"10.1109/ICME.2012.136","DOIUrl":"https://doi.org/10.1109/ICME.2012.136","url":null,"abstract":"Utilizing the special properties to improve the surveillance video coding efficiency still has much room, although there have been three typical paradigms of methods: object-oriented, background-prediction-based and background-difference-based methods. However, due to the inaccurate foreground segmentation, the low-quality or unclear background frame, and the potential \"foreground pollution\" phenomenon, there is still much room for improvement. To address this problem, this paper proposes a macro-block-level selective background difference coding method (MSBDC). MSBDC selects the following two ways to encode each macro-block (MB): coding the original MB, and directly coding the difference data between the MB and its corresponding background. MSBDC also features at employs the classification of MBs to facilitate the selection, through which, prediction and motion compensation turns more accurate, both on foreground and background. Results show that, MSBDC significantly decreases the total bitrate and obtains a remarkable performance gain on foreground compared with several state-of-the-art methods.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127876489","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: 12
View Independent Computer Lip-Reading 查看独立电脑唇读
2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.192
Yuxuan Lan, B. Theobald, R. Harvey
{"title":"View Independent Computer Lip-Reading","authors":"Yuxuan Lan, B. Theobald, R. Harvey","doi":"10.1109/ICME.2012.192","DOIUrl":"https://doi.org/10.1109/ICME.2012.192","url":null,"abstract":"Computer lip-reading systems are usually designed to work using a full-frontal view of the face. However, many human experts tend to prefer to lip-read using an angled view. In this paper we consider issues related to the best viewing angle for an automated lip-reading system. In particular, we seek answers to the following questions: (1) Do computers lip-read better using a frontal or a non-frontal view of the face? (2) What is the best viewing angle for a computer lip-reading system? (3) How can a computer lip-reading system be made to work independently of viewing angle? We investigate these issues using a purpose built audio-visual dataset that contains simultaneous recordings of a speaker reciting continuous speech at five angles. We find that the system performs best on a non-frontal view, perhaps because lip gestures, such as lip-protrusion and lip-rounding, are more pronounced when viewing from an angle. We also describe a simple linear mapping that allows us to map any view of the face to the view that we find to be optimal. Hence we present a view-independent lip-reading system.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"29 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977302","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: 44
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