2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)最新文献_第5页

RSVP: Ridiculously Scalable Video Playback on Clustered Tiled Displays RSVP:在集群平铺显示上不可伸缩的视频播放

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.12

J. Kimball, K. Ponto, T. Wypych, F. Kuester

{"title":"RSVP: Ridiculously Scalable Video Playback on Clustered Tiled Displays","authors":"J. Kimball, K. Ponto, T. Wypych, F. Kuester","doi":"10.1109/ISM.2013.12","DOIUrl":"https://doi.org/10.1109/ISM.2013.12","url":null,"abstract":"This paper introduces a distributed approach for playback of video content at resolutions of 4K (digital cinema) and well beyond. This approach is designed for scalable, high-resolution, multi-tile display environments, which are controlled by a cluster of machines, with each node driving one or multiple displays. A preparatory tiling pass separates the original video into a user definable n-by-m array of equally sized video tiles, each of which is individually compressed. By only reading and rendering the video tiles that correspond to a given node's viewpoint, the computation power required for video playback can be distributed over multiple machines, resulting in a highly scalable video playback system. This approach exploits the computational parallelism of the display cluster while only using minimal network resources in order to maintain software-level synchronization of the video playback. While network constraints limit the maximum resolution of other high-resolution video playback approaches, this algorithm is able to scale to video at resolutions of tens of millions of pixels and beyond. Furthermore the system allows for flexible control of the video characteristics, allowing content to be interactively reorganized while maintaining smooth playback. This approach scales well for concurrent playback of multiple videos and does not require any specialized video decoding hardware to achieve ultra-high resolution video playback.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"50 1","pages":"9-16"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90226581","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

Action Recognition Using Effective Mask Patterns Selected from a Classificational Viewpoint 从分类角度选择有效掩模模式的动作识别

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.31

Takumi Hayashi, K. Hotta

引用次数: 0

Relational Social Image Search 关系社会形象搜索

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.105

P. Aarabi

引用次数: 4

Biological Image Temporal Stage Classification via Multi-layer Model Collaboration 基于多层模型协作的生物图像时间阶段分类

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.15

Tao Meng, M. Shyu

{"title":"Biological Image Temporal Stage Classification via Multi-layer Model Collaboration","authors":"Tao Meng, M. Shyu","doi":"10.1109/ISM.2013.15","DOIUrl":"https://doi.org/10.1109/ISM.2013.15","url":null,"abstract":"In current biological image analysis, the temporal stage information, such as the developmental stage in the Drosophila development in situ hybridization images, is important for biological knowledge discovery. Such information is usually gained through visual inspection by experts. However, as the high-throughput imaging technology becomes increasingly popular, the demand for labor effort on annotating, labeling, and organizing the images for efficient image retrieval has increased tremendously, making manual data processing infeasible. In this paper, a novel multi-layer classification framework is proposed to discover the temporal information of the biological images automatically. Rather than solving the problem directly, the proposed framework uses the idea of ``divide and conquer'' to create some middle level classes, which are relatively easy to annotate, and to train the proposed subspace-based classifiers on the subsets of data belonging to these categories. Next, the results from these classifiers are integrated to improve the final classification performance. In order to appropriately integrate the outputs from different classifiers, a multi-class based closed form quadratic cost function is defined as the optimization target and the parameters are estimated using the gradient descent algorithm. Our proposed framework is tested on three biological image data sets and compared with other state-of-the-art algorithms. The experimental results demonstrate that the proposed middle-level classes and the proper integration of the results from the corresponding classifiers are promising for mining the temporal stage information of the biological images.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"14 1","pages":"30-37"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85048678","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

Mobile Scene Flow Synthesis 移动场景流合成

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.85

V. Ly, C. Kambhamettu

引用次数: 0

Similarity-Based Browsing of Image Search Results 基于相似度的图像搜索结果浏览

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.97

David Edmundson, G. Schaefer, M. E. Celebi

引用次数: 3

Big Data and NSA Surveillance -- Survey of Technology and Legal Issues 大数据与国家安全局监控——技术与法律问题调查

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.103

Chanmin Park, Taehyung Wang

引用次数: 3

Sparse Representation-Based Human Action Recognition Using an Action Region-Aware Dictionary 基于稀疏表示的基于动作区域感知字典的人类动作识别

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.30

Hyun-seok Min, W. D. Neve, Yong Man Ro

{"title":"Sparse Representation-Based Human Action Recognition Using an Action Region-Aware Dictionary","authors":"Hyun-seok Min, W. D. Neve, Yong Man Ro","doi":"10.1109/ISM.2013.30","DOIUrl":"https://doi.org/10.1109/ISM.2013.30","url":null,"abstract":"Automatic human action recognition is a core functionality of systems for video surveillance and human-object interaction. Conventional vision-based systems for human action recognition require the use of segmentation in order to achieve an acceptable level of recognition effectiveness. However, generic techniques for automatic segmentation are currently not available yet. Therefore, in this paper, we propose a novel sparse representation-based method for human action recognition, taking advantage of the observation that, although the location and size of the action region in a test video clip is unknown, the construction of a dictionary can leverage information about the location and size of action regions in training video clips. That way, we are able to segment, implicitly, action and context information in a test video clip, thus improving the effectiveness of classification. That way, we are also able to develop a context-adaptive classification strategy. As shown by comparative experimental results obtained for the UCF Sports Action data set, the proposed method facilitates effective human action recognition, even when testing does not rely on explicit segmentation.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"446 1","pages":"133-139"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82900745","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

QUEST: Towards a Multi-modal CBIR Framework Combining Query-by-Example, Query-by-Sketch, and Text Search QUEST:迈向结合按例查询、按草图查询和文本搜索的多模态CBIR框架

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.84

Ihab Al Kabary, Ivan Giangreco, H. Schuldt, Fabrice Matulic, M. Norrie

{"title":"QUEST: Towards a Multi-modal CBIR Framework Combining Query-by-Example, Query-by-Sketch, and Text Search","authors":"Ihab Al Kabary, Ivan Giangreco, H. Schuldt, Fabrice Matulic, M. Norrie","doi":"10.1109/ISM.2013.84","DOIUrl":"https://doi.org/10.1109/ISM.2013.84","url":null,"abstract":"The enormous increase of digital image collections urgently necessitates effective, efficient, and in particular highly flexible approaches to image retrieval. Different search paradigms such as text search, query-by-example, or query-by-sketch need to be seamlessly combined and integrated to support different information needs and to allow users to start (and subsequently refine) queries with any type of object. In this paper, we present QUEST (Query by Example, Sketch and Text), a novel flexible multi-modal content-based image retrieval (CBIR) framework. QUEST seamlessly integrates and blends multiple modes of image retrieval, thereby accumulating the strengths of each individual mode. Moreover, it provides several implementations of the different query modes and allows users to select, combine and even superimpose the mode(s) most appropriate for each search task. The combination of search paradigms is by itself done in a very flexible way: either sequentially, where one query mode starts with the result set of the previous one (i.e., for incrementally refining and/or extending a query) or by supporting different paradigms at the same time (e.g., creating an artificial query image by superimposing a query image with a sketch, thereby directly integrating query-by-example and query-by-sketch). We present the overall architecture of QUEST and the dynamic combination and integration of the query modes it supports. Furthermore, we provide first evaluation results that show the effectiveness and the gain in efficiency that can be achieved with the combination of different search modes in QUEST.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"80 1","pages":"433-438"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77368689","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

Towards Context-Aware Recommendations of Multimedia in an Ambient Intelligence Environment 环境智能环境下多媒体的情境感知推荐

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.80

Mohammed F. Alhamid, Majdi Rawashdeh, Abdulmotaleb El Saddik

引用次数: 6