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

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Dynamic Recombination of Evolving Guitar Sounds (DREGS): A Genetic Algorithm Approach to Guitar Synthesizer Control 演化吉他声音的动态重组(DREGS):一种吉他合成器控制的遗传算法
Timothy M. Walker, Sean Whalen
{"title":"Dynamic Recombination of Evolving Guitar Sounds (DREGS): A Genetic Algorithm Approach to Guitar Synthesizer Control","authors":"Timothy M. Walker, Sean Whalen","doi":"10.1109/ISM.2013.47","DOIUrl":"https://doi.org/10.1109/ISM.2013.47","url":null,"abstract":"A system is described which integrates multiple hardware interfaces and software packages in order to control the parameters of a guitar synthesizer in real time. An interactive genetic algorithm is developed in order to create and explore parameter settings, and a mobile device wirelessly sets the fitness values. The synthesizer parameters are represented as genes within an individual, and individuals dynamically interact within a population as the user rates the resulting sounds by changing orientation.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"73 9 1","pages":"248-254"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76381438","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
Longitudinal Characterization of Breast Morphology during Reconstructive Surgery 乳房重建手术中乳房形态的纵向特征
Lijuan Zhao, Shishir K. Shah, F. Merchant
{"title":"Longitudinal Characterization of Breast Morphology during Reconstructive Surgery","authors":"Lijuan Zhao, Shishir K. Shah, F. Merchant","doi":"10.1109/ISM.2013.79","DOIUrl":"https://doi.org/10.1109/ISM.2013.79","url":null,"abstract":"Quantitative analysis of breast morphology facilitates pre-operative planning and post-operative outcome assessments in breast reconstruction. Our project is developing algorithms to quantify changes in local breast morphology occurring over time. The project encompasses three topics: (1) Three-dimensional (3D) images registration, (2) Breast contour detection, and (3) Quantitative analysis of local breast morphology changes. We developed a semi-automated 3D image registration algorithm. We have also developed an approach to directly compute breast contour on 3D images. In the future, we will improve existing and develop additional algorithms to fulfill our project goals.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"9 1","pages":"407-408"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85869288","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
VideoTopic: Content-Based Video Recommendation Using a Topic Model VideoTopic:使用主题模型的基于内容的视频推荐
Qiusha Zhu, M. Shyu, Haohong Wang
{"title":"VideoTopic: Content-Based Video Recommendation Using a Topic Model","authors":"Qiusha Zhu, M. Shyu, Haohong Wang","doi":"10.1109/ISM.2013.41","DOIUrl":"https://doi.org/10.1109/ISM.2013.41","url":null,"abstract":"Most video recommender systems limit the content to the metadata associated with the videos, which could lead to poor results since metadata is not always available or correct. Meanwhile, the visual information of videos is typically not fully explored, which is especially important for recommending new items with limited metadata information. In this paper, a novel content-based video recommendation framework, called Video Topic, that utilizes a topic model is proposed. It decomposes the recommendation process into video representation and recommendation generation. It aims to capture user interests in videos by using a topic model to represent the videos, and then generates recommendations by finding those videos that most fit to the topic distribution of the user interests. Experimental results on the Movie Lens dataset validate the effectiveness of Video Topic by evaluating each of its components and the whole framework.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"1 1","pages":"219-222"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86446020","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
Contextualized Privacy Filters in Video Surveillance Using Crowd Density Maps 基于人群密度图的视频监控情境化隐私过滤器
H. Fradi, A. Melle, J. Dugelay
{"title":"Contextualized Privacy Filters in Video Surveillance Using Crowd Density Maps","authors":"H. Fradi, A. Melle, J. Dugelay","doi":"10.1109/ISM.2013.23","DOIUrl":"https://doi.org/10.1109/ISM.2013.23","url":null,"abstract":"The widespread growth in the adoption of digital video surveillance systems emphasizes the need for privacy preservation video analytics techniques. While these privacy aspects have shown big interest in recent years, little importance has been given to the concept of context-aware privacy protection filters. In this paper, we specifically focus on the dependency between privacy preservation and crowd density. We show that additional information about the crowd density in the scene can be used in order to adjust the level of privacy protection according to the local needs. This additional information cue consists of modeling time-varying dynamics of the crowd density using local features as an observation of a probabilistic crowd function. It also involves a feature tracking step which enables excluding feature points on the background. This process is favourable for the later density function estimation since the influence of features irrelevant to the underlying crowd density is removed. Then, the protection level of personal privacy in videos is adapted according to the crowd density. Afterwards, a framework for objective evaluation of the contextualized protection filters is proposed. The effectiveness of the proposed context-aware privacy filters has been demonstrated by assessing the intelligibility vs. privacy trade-off using videos from different crowd datasets.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"1 1","pages":"92-99"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88620978","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
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
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
Takumi Hayashi, K. Hotta
{"title":"Action Recognition Using Effective Mask Patterns Selected from a Classificational Viewpoint","authors":"Takumi Hayashi, K. Hotta","doi":"10.1109/ISM.2013.31","DOIUrl":"https://doi.org/10.1109/ISM.2013.31","url":null,"abstract":"This paper presents action recognition using effective mask patterns selected from an classificational viewpoint. Cubic higher-order local auto-correlation (CHLAC) feature is robust to position changes of human actions in a video, and its effectiveness for action recognition was already shown. However, the mask patterns for extracting cubic higher-order local auto-correlation (CHLAC) features are fixed. In other words, the mask patterns are independent of action classes, and the features extracted from those mask patterns are not specialized for each action. Thus, we propose automatic creation of specialized mask patterns for each action. Our approach consists of 2 steps. First, mask patterns are created by clustering of local spatio-temporal regions in each action. However, unnecessary mask patterns such as same patterns and mask patterns with all 0 or 1 are included. Then we select the effective mask patterns for classification by feature selection techniques. Through experiments using the KTH dataset, the effectiveness of our method is shown.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"67 1","pages":"140-146"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84408069","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
Relational Social Image Search 关系社会形象搜索
P. Aarabi
{"title":"Relational Social Image Search","authors":"P. Aarabi","doi":"10.1109/ISM.2013.105","DOIUrl":"https://doi.org/10.1109/ISM.2013.105","url":null,"abstract":"This paper proposes a method of finding the relationship between objects based on their spatial arrangement in a set of tagged images. Based on the relative coordinates of each object tag, we compute a joint Relativity between each tag pair. We then propose an efficient image search method using the joint Relativity graphs and provide simple examples where the proposed Relational Social Image (RSI) search produces more relevant and intuitive results than simple search.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"401 1","pages":"520-521"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84849976","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
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
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
V. Ly, C. Kambhamettu
{"title":"Mobile Scene Flow Synthesis","authors":"V. Ly, C. Kambhamettu","doi":"10.1109/ISM.2013.85","DOIUrl":"https://doi.org/10.1109/ISM.2013.85","url":null,"abstract":"Scene flow is the motion of the 3D world, it is used in obstacle avoidance, slow motion interpolation, surveillance, studying human behavior, and much more. A mobile implementation of scene flow can greatly increase the flexibility of scene flow applications. Furthermore, combining multiple scene flows to one panoramic scene flow can aid in these tasks: allowing coverage of dead spots in surveillance, studying human motion from multiple views, or simply obtain a larger motion view of a scene. In this paper, a robust algorithm for building panoramic scene flow obtained from a mobile device is described. Since scene flow is estimated from a mobile device, observer motion is compensated for using least squares fitting over the entire scene. Furthermore, noise is reduced and outliers are eliminated from the 3D motion field using motion model fitting. The results demonstrate the effectiveness of the suggested algorithm for constructing a scene flow panorama from moving sources.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"6 1","pages":"439-444"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82391933","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
Similarity-Based Browsing of Image Search Results 基于相似度的图像搜索结果浏览
David Edmundson, G. Schaefer, M. E. Celebi
{"title":"Similarity-Based Browsing of Image Search Results","authors":"David Edmundson, G. Schaefer, M. E. Celebi","doi":"10.1109/ISM.2013.97","DOIUrl":"https://doi.org/10.1109/ISM.2013.97","url":null,"abstract":"In this demo paper, we present an image browsing system that is suitable for online visualisation and browsing of search results from Google Images. Our approach is based on the Huffman tables available in the JPEG headers of Google Images thumbnails. Since these are adapted to the images, we employ them directly as image features. We then generate a visualisation of the search results by projection onto a 2-dimensional visualisation space based on principal component analysis derived from the Huffman entries. Images are dynamically placed into a grid structure and organised in a tree-like hierarchy for visual browsing. Since we utilise information only from the JPEG header, the requirements in terms of bandwidth are low, while no explicit feature calculation needs to be performed, thus allowing for interactive browsing of online image search results.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"194 1","pages":"502-503"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73195898","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
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