2012 IEEE International Conference on Multimedia and Expo最新文献_第10页

Media Lifecycle and Content Analysis in Social Media Communities 社交媒体社区中的媒体生命周期和内容分析

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.138

Lexing Xie, H. Sundaram

引用次数: 1

A Unified 4/8/16/32-Point Integer IDCT Architecture for Multiple Video Coding Standards 针对多种视频编码标准的统一4/8/16/32点整数IDCT架构

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.7

Sha Shen, W. Shen, Yibo Fan, Xiaoyang Zeng

引用次数: 80

Pooling Search: Serum Samples Test Simulated Video Fingerprint Search 汇集搜索:血清样本测试模拟视频指纹搜索

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.151

Jincao Yao, Huimin Yu, Roland Hu

引用次数: 0

A Two-Piece R-D Model for Hybrid Video Coding and Its Application in Fast Mode Decision 混合视频编码的两件套R-D模型及其在快速模式决策中的应用

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.6

A. Aminlou, Hana Fahim-Hashemi, M. Hashemi, M. Gabbouj, S. O. Fatemi

引用次数: 1

Virtual View Reconstruction Using Temporal Information 利用时间信息重建虚拟视图

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.194

Shujie Liu, P. Chou, Cha Zhang, Zhengyou Zhang, Chang Wen Chen

引用次数: 1

An Augmented Reality 3D Pop-Up Book: The Development of a Multimedia Project for English Language Teaching 增强现实三维立体立体书:英语教学多媒体项目的开发

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.79

P. Vate-U-Lan

{"title":"An Augmented Reality 3D Pop-Up Book: The Development of a Multimedia Project for English Language Teaching","authors":"P. Vate-U-Lan","doi":"10.1109/ICME.2012.79","DOIUrl":"https://doi.org/10.1109/ICME.2012.79","url":null,"abstract":"Augmented Reality (AR) for academic purposes is growing in the same upward direction as the expansion of smart multimedia into education and lifelong learning. This paper reports on an AR curriculum materials research and development project which employs storytelling as a teaching technique in a blended learning environment for Grade Three students in Bangkok learning English. It involved an AR 3D pop-up book as a tool for teachers to deliver the story of a children's book, namely The Seed Shooting Game, to teach various English language aspects to young children. The primary rationale supporting this research was the high demand and appreciation of the potential to integrate Augmented Reality into classrooms effectively to enhance learning. This article aims to detail each phase of the production process: pre-production, production and post production. The population for this study were 484 Grade Three Thai students of whom 99 were purposively selected. An added finding was the depth of learning - comprehension and engagement gained from the English lesson were higher than their pre-test scores. The majority of participants indicated that the Augmented Reality book was a stimulating educational resource that increased the desire to learn.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"47 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":"125203145","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: 66

Fine-Granular Parallel EBCOT and Optimization with CUDA for Digital Cinema Image Compression 细粒度并行EBCOT和CUDA优化数字电影图像压缩

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.115

Fang Wei, Qiu Cui, Ye Li

{"title":"Fine-Granular Parallel EBCOT and Optimization with CUDA for Digital Cinema Image Compression","authors":"Fang Wei, Qiu Cui, Ye Li","doi":"10.1109/ICME.2012.115","DOIUrl":"https://doi.org/10.1109/ICME.2012.115","url":null,"abstract":"JPEG2000 has been accepted by The Society of Motion Picture and Television Engineers (SMPTE) as the image compression standard for the digital distribution of motion pictures. In JPEG2000, the biggest contribution to the coding performance comes from the Embedded Block Coding with Optimized Truncation (EBCOT), which is also the most time-consuming module by occupying almost 37% of the encoding time. There have been many research activities in the optimization of EBCOT on platforms like FPGA and VLSI, but on Graphics Processing Unit (GPU), a currently popular parallel computing platform in post-production of motion pictures, still few works have been done. This paper proposes a fine-granular parallel EBCOT by re-designing the highly serialized bit-plane coding to a parallel structure where the coding of all bits in a bit-plane could be performed in parallel, then the bit coding tasks can be distributed to the stream processors in GPU by taking advantage of the programming and memory model of CUDA. Experimental results show that our algorithms reveal 3 to 4 times computational speed improvement on an ordinary GPU compared to that on CPU.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"56 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":"130360929","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: 11

Social Image Tagging by Mining Sparse Tag Patterns from Auxiliary Data 从辅助数据中挖掘稀疏标记模式的社会图像标记

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.170

Jie Lin, Junsong Yuan, Ling-yu Duan, Siwei Luo, Wen Gao

引用次数: 2

Symmetric Cluster Set Level of Detail for Real-Time Terrain Rendering 对称簇集的细节水平实时地形渲染

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.178

John Judnich, N. Ling

{"title":"Symmetric Cluster Set Level of Detail for Real-Time Terrain Rendering","authors":"John Judnich, N. Ling","doi":"10.1109/ICME.2012.178","DOIUrl":"https://doi.org/10.1109/ICME.2012.178","url":null,"abstract":"In this paper, we present an improvement for batch-based quad tree terrain rendering that drastically reduces the number of draw calls to the graphics processing unit. As a result, more fine-grained triangular optimization is possible without sacrificing triangle throughput. No extra preprocessing is required. In general, quad tree terrain algorithms recursively subdivide mesh geometry to meet visual error constraints. Batch-based techniques use buffered grid blocks as the subdivision primitive for better triangle throughput. We base our algorithm on structural observations of such terrain quad trees. First, we show that the four sub-nodes of any non-leaf can be categorized into sixteen distinct states of drawing behavior. These states are symmetric in such a way that allows just five unique geometries to represent all of them. With the additional observation that leaf nodes appear in groups of four across regions of homogeneous grid resolution, we develop a technique employing 23 unique geometric batches from which any terrain can be rendered. The resulting algorithm reliably reduces draw calls by a factor of 6 on average, and achieves render performance 30 to 50 percent faster than comparable techniques.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"4 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":"134298962","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

GPU and CPU Cooperative Accelaration for Face Detection on Modern Processors GPU和CPU协同加速在现代处理器上的人脸检测

2012 IEEE International Conference on Multimedia and Expo Pub Date : 2012-07-09 DOI: 10.1109/ICME.2012.121

E. Li, Bin Wang, Liu Yang, Ya-ti Peng, Yangzhou Du, Yimin Zhang, Yi-jen Chiu

{"title":"GPU and CPU Cooperative Accelaration for Face Detection on Modern Processors","authors":"E. Li, Bin Wang, Liu Yang, Ya-ti Peng, Yangzhou Du, Yimin Zhang, Yi-jen Chiu","doi":"10.1109/ICME.2012.121","DOIUrl":"https://doi.org/10.1109/ICME.2012.121","url":null,"abstract":"Along with the inclusion of GPU cores within the same CPU die, the performance of Intel's processor-graphics has been significantly improved over earlier generation of integrated graphics. The need to efficiently harness the computational power of the GPU in the same CPU die is more than ever. This paper presents a highly optimized Haar-based face detector which efficiently exploits both CPU and GPU computing power on the latest Sandy Bridge processor. The classification procedure of Haar-based cascade detector is partitioned to two phases in order to leverage both thread level and data level parallelism in the GPU. The image downscaling and integral image calculation running in the CPU core can work with the GPU in parallel. Compared to CPU-alone implementation, the experiments show that our proposed GPU accelerated implementation achieves a 3.07x speedup with more than 50% power reduction on the latest Sandy Bridge processor. On the other hand, our implementation is also more efficient than the CUDA implementation on the NVidia GT430 card in terms of performance as well as power. In addition, our proposed method presents a general approach for task partitioning between CPU and GPU, thus being beneficial not only for face detection but also for other multimedia and computer vision techniques.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"207 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":"132584148","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