2012 IEEE International Conference on Multimedia and Expo最新文献_第5页

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

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

引用次数: 13

Lumipen: Projection-Based Mixed Reality for Dynamic Objects Lumipen:基于投影的混合现实动态对象

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.34

Kohei Okumura, H. Oku, M. Ishikawa

引用次数: 40

LIPS: A Lightweight Inter-layer Protection Scheme for Scalable Video Coding 可扩展视频编码的轻量级层间保护方案

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.33

Shih-Ying Chang, Hsin-Ta Chiao

引用次数: 2

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

引用次数: 21

Grouplet-Based Distance Metric Learning for Video Concept Detection 基于分组的视频概念检测距离度量学习

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

Wei Jiang, A. Loui

{"title":"Grouplet-Based Distance Metric Learning for Video Concept Detection","authors":"Wei Jiang, A. Loui","doi":"10.1109/ICME.2012.123","DOIUrl":"https://doi.org/10.1109/ICME.2012.123","url":null,"abstract":"We investigate general concept detection in unconstrained videos. A distance metric learning algorithm is developed to use the information of the group let structure for improved detection. A group let is defined as a set of audio and/or visual code words that are grouped together according to their strong correlations in videos. By using the entire group lets as building elements, concepts can be more robustly detected than using discrete audio or visual code words. Compared with the traditional method of generating aggregated group let-based features for classification, our group let-based distance metric learning approach directly learns distances between data points, which better preserves the group let structure. Specifically, our algorithm uses an iterative quadratic programming formulation where the optimal distance metric can be effectively learned based on the large-margin nearest-neighbor setting. The framework is quite flexible, where various types of distances can be computed using individual group lets, and through the same distance metric learning algorithm the distances computed over individual group lets can be combined for final classification. We extensively evaluate our method over the large-scale Columbia Consumer Video set. Experiments demonstrate that our approach can achieve consistent and significant performance improvements.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"53 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":"132390661","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

An Adaptive Dynamic Scheduling Scheme for H.264/AVC Decoding on Multicore Architecture 一种多核H.264/AVC解码的自适应动态调度方案

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.9

Dung Vu, Jilong Kuang, L. Bhuyan

{"title":"An Adaptive Dynamic Scheduling Scheme for H.264/AVC Decoding on Multicore Architecture","authors":"Dung Vu, Jilong Kuang, L. Bhuyan","doi":"10.1109/ICME.2012.9","DOIUrl":"https://doi.org/10.1109/ICME.2012.9","url":null,"abstract":"Parallelizing H.264/AVC decoding on multicore architectures is challenged by its inherent structural and functional dependencies at both frame and macro-block levels, as macro-blocks and certain frame types must be decoded in a sequential order. So far, dynamic scheduling scheme with recursive tail submit, as one of the best existing algorithms, provides a good throughput performance by exploiting macro-block level parallelism and mitigating global queue contention. Nevertheless, it fails to achieve an optimal performance due to 1) the use of global queue, which incurs substantial synchronization overhead when the number of cores increases and 2) the unawareness of cache locality with respect to the underlying hierarchical core/cache topology that results in unnecessary latency, communication cost and load imbalance. In this paper, we propose an adaptive dynamic scheduling scheme that employs multiple local queues to reduce lock contention, and assigns tasks in a cache locality aware and load-balancing fashion so that neighboring macro-blocks are preferably dispatched to nearby cores. We design, implement and evaluate our scheme on a 32-core cc-NUMA SGI server. Compared to existing alternatives by running real benchmark applications, we observe that our scheme produces higher throughput and lower latency with more balanced workload and less communication cost.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"14 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":"134286065","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

Comparison of Curvelet and Wavelet Texture Features for Content Based Image Retrieval 基于内容的图像检索中曲波和小波纹理特征的比较

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.90

I. Sumana, Guojun Lu, Dengsheng Zhang

引用次数: 30

Joint Example-Based Depth Map Super-Resolution 联合样例深度图超分辨率

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.30

Yanjie Li, Tianfan Xue, Lifeng Sun, Jianzhuang Liu

引用次数: 93

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

引用次数: 44