2009 Fourth International Conference on Embedded and Multimedia Computing最新文献_第3页

Face Processing on Low-Power Devices 低功耗设备上的人脸处理

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402969

E. Ardizzone, M. La Cascia, M. Morana

{"title":"Face Processing on Low-Power Devices","authors":"E. Ardizzone, M. La Cascia, M. Morana","doi":"10.1109/EM-COM.2009.5402969","DOIUrl":"https://doi.org/10.1109/EM-COM.2009.5402969","url":null,"abstract":"The research on embedded vision-based techniques is considered nowadays as one of the most interesting matters of computer vision. In this work we address the scenario in which a real-time face processing system is needed to monitor people walking through some locations. Some face detection (e.g., Viola-Jones face detector) and face recognition (e.g., eigenfaces) approaches have reached a certain level of maturity, so we focused on the development of such techniques on embedded systems taking into account both hardware and software constraints. Our goal is to detect the presence of some known individuals inside some sensitive areas producing a compact description of the observed people. Captured data can then be used for online or offline behavioural analysis. In order to obtain system scalability and efficient resource allocation, Wireless Multimedia Sensor Networks (WMSNs) are used. Each node is based on the low-power Imote2 platform extended with a multimedia board that integrates a VGA camera and a PIR motion sensor. Tests have been performed on a WMSN prototype deployed for the monitoring of a laboratory at the University of Palermo and experimental results are very encouraging.","PeriodicalId":290107,"journal":{"name":"2009 Fourth International Conference on Embedded and Multimedia Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121949016","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: 5

Intelligent Adaptation Model Based on MPEG-21 Framework 基于MPEG-21框架的智能自适应模型

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402971

Svetlana Kim, Yongik Yoon

引用次数: 0

Power-Aware Mapping for Network-on-Chip Architectures under Bandwidth and Latency Constraints 在带宽和延迟限制下的片上网络架构的功率感知映射

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402985

Xiaohang Wang, Mei Yang, Yingtao Jiang, Peng Liu

引用次数: 22

A Framework for Stream Programming on DSP 基于DSP的流编程框架

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5403001

Changqing Xun, M. Wen, Wei Wu, Chunyuan Zhang

引用次数: 2

Determinants of Intra-Industry Trade in Capital and Technology Products between China and the US 中美产业内资本和技术产品贸易的决定因素

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402966

Jie Lv, Q. Shi

引用次数: 0

Four-Layer Architecture Model for Energy Conservation in Wireless Sensor Networks 无线传感器网络节能的四层体系结构模型

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402968

Sugam Sharma, S. Goyal, S. Qamar

{"title":"Four-Layer Architecture Model for Energy Conservation in Wireless Sensor Networks","authors":"Sugam Sharma, S. Goyal, S. Qamar","doi":"10.1109/EM-COM.2009.5402968","DOIUrl":"https://doi.org/10.1109/EM-COM.2009.5402968","url":null,"abstract":"We propose a Four-Layer Architecture Model (FLAM) to obtain the potential energy savings for sensor nodes in large scale wireless sensor networks. The very first layer, the bottom layer is a network of a resource-constrained sensor nodes deployed in the field. The second layer is ad hoc network formed by resource-rich dynamic sink nodes, also knows as cluster sink nodes. The third layer consists of resource-rich static sink nodes, known as zonal sink also, responsible for data collection from cluster sinks of its zone. The fourth (top) layer posses a resource-rich flying sink. We call this sink as hawk sink and is responsible for data collection from zonal sinks. A cluster sink may be few hops away from a static sensor node and moves to the vicinity of sensor nodes to collect the data and continuously updates its zonal sink by propagating the collected data from the respective cluster. Each zonal sink buffers the collected data and propagates to hawk sink through query- response mechanism when later enters the transmission range of the zonal sink. Hawk sink is the one, responsible for data transmission from network environment to the base station. FLAM approach is scalable, increases sensor life by allowing them to operate with a limited transmission range only and provides reduced delay as cluster sink continuously updates to zonal sink without query.","PeriodicalId":290107,"journal":{"name":"2009 Fourth International Conference on Embedded and Multimedia Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518372","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: 8

Data Quality Management for Flash Memory Based Read Intensive Embedded and Multimedia Applications 基于读密集型嵌入式和多媒体应用的闪存数据质量管理

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402970

S. S. Rizvi, Tae-Sun Chung

引用次数: 5

Convolutive Noise Filtering in Power Analysis on Smartcards Using the Cepstrum 基于倒频谱的智能卡功率分析中的卷积噪声滤波

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402979

Junki Kang, Deok-Gyu Lee, Dooho Choi

引用次数: 3

A TPN Based Framework for the Specification of Real Time Embedded Systems

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402988

A. Abdelli, Y. Hammal

引用次数: 0

Optimizations for ARM11 MPCore on Computational Capabilities and Interrupt Processing ARM11 MPCore的计算能力和中断处理优化

2009 Fourth International Conference on Embedded and Multimedia Computing Pub Date : 2009-12-01 DOI: 10.1109/EM-COM.2009.5402992

Wei Wang, Yu Zhou, S. Du

{"title":"Optimizations for ARM11 MPCore on Computational Capabilities and Interrupt Processing","authors":"Wei Wang, Yu Zhou, S. Du","doi":"10.1109/EM-COM.2009.5402992","DOIUrl":"https://doi.org/10.1109/EM-COM.2009.5402992","url":null,"abstract":"In this contribution, several optimization strategies for fully exploiting the performance of ARM11 MPCore have been discussed. Experimental studies are conducted for the basic computation performance and the multimedia processing performance of ARM11 MPCore. The basic computation operation includes integer operation and floating-point operation. Results show that an efficiency gain of a factor 3.8 for integer operation could be achieved when being optimized by using the OpenMP parallel computing model, and for floating-point operation, the value is 3 to 5 when adopting the VFP (vector float point) optimization method. With regard to the multimedia processing, two optimization methods are put forward, namely, the DCT optimization with VFP and the parallelization of audio decoding, video decoding and playing. The experimental results show that both methods could efficiently improve the performance of multimedia processing for ARM11 MPCore. In addition, considering that the interrupt load imbalance on multi- core processor may bottleneck the entire system's performance improvement, workload balancing methods basing on interrupt affinity are proposed for ARM11 MPCore, and results indicate these methods are effective.","PeriodicalId":290107,"journal":{"name":"2009 Fourth International Conference on Embedded and Multimedia Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130295677","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