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

Comparative Study on Dimensionality Reduction in Large-Scale Image Retrieval 大规模图像检索中降维方法的比较研究

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.86

Bo Cheng, L. Zhuo, Jing Zhang

{"title":"Comparative Study on Dimensionality Reduction in Large-Scale Image Retrieval","authors":"Bo Cheng, L. Zhuo, Jing Zhang","doi":"10.1109/ISM.2013.86","DOIUrl":"https://doi.org/10.1109/ISM.2013.86","url":null,"abstract":"Dimensionality reduction plays a significant role for the performance of large-scale image retrieval. In this paper, various dimensionality reduction methods are compared to validate their own performance in image retrieval. For this purpose, first, the Scale Invariant Feature Transform (SIFT) features and HSV (Hue, Saturation, Value) histogram are extracted as image features. Second, the Principal Component Analysis (PCA), Fisher Linear Discriminant Analysis (FLDA), Local Fisher Discriminant Analysis (LFDA), Isometric Mapping (ISOMAP), Locally Linear Embedding (LLE), and Locality Preserving Projections (LPP) are respectively applied to reduce the dimensions of SIFT feature descriptors and color information, which can be used to generate vocabulary trees. Finally, through setting the match weights of vocabulary trees, large-scale image retrieval scheme is implemented. By comparing multiple sets of experimental data from several platforms, it can be concluded that dimensionality reduction method of LLE and LPP can effectively reduce the computational cost of image features, and maintain the high retrieval performance as well.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"105 1","pages":"445-450"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73643137","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

A Novel Method for Identifying Exact Sensor Using Multiplicative Noise Component 利用乘性噪声分量识别精确传感器的新方法

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.46

B. Mahdian, S. Saic

引用次数: 0

Network Coding for Streaming Video over P2P Networks P2P网络上视频流的网络编码

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.63

F. A. López-Fuentes, C. Cabrera-Medina

引用次数: 3

Secure Steganography Technique Based on Bitplane Indexes 基于位面索引的安全隐写技术

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.55

A. A. Abdulla, S. Jassim, H. Sellahewa

引用次数: 29

Impression Estimation of Video and Application to Video Creation 视频印象估计及其在视频创作中的应用

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.25

Kiyoshi Tokunaga, Takahiro Hayashi

{"title":"Impression Estimation of Video and Application to Video Creation","authors":"Kiyoshi Tokunaga, Takahiro Hayashi","doi":"10.1109/ISM.2013.25","DOIUrl":"https://doi.org/10.1109/ISM.2013.25","url":null,"abstract":"Adding BGM (background music) to a video is an important process in video creation because BGM determines the impression of the video. We model impression estimation of a video as mappping from computer-mesurable audio and visual features to impression degrees. As an application of impression estimation of a video, we propose OtoPittan, a system for recommending BGM for helping users to make impressive videos. OtoPittan regards the problem of selecting BGM from a music collection as a partial inverse problem of the impression estimation. That is, to an inputted video and desired impression, BGM which produces a good match to the desired impression when adding it to the inputted video is recommended. As implementation ways of impression estimation of a video, we use a static user model and a dynamic user model. The first model statically constructs a mapping function learnt from training data. The second model dynamically optimizes a mapping function through user interaction. Experimental results have shown that the static user model has high estimation accuracy and the dynamic user model can efficiently performs optimization without much user interaction.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"50 1","pages":"102-105"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86001954","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

Cellular GPU Model for Structured Mesh Generation and Its Application to the Stereo-Matching Disparity Map 结构化网格生成的元胞GPU模型及其在立体匹配视差图中的应用

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.18

N. Zhang, Hongjian Wang, Jean-Charles Créput, Julien Moreau, Y. Ruichek

引用次数: 5

Towards Portable Multi-camera High Definition Video Capture Using Smartphones 使用智能手机实现便携式多摄像头高清视频采集

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.74

Surendar Chandra, Patrick Chiu, Maribeth Back

引用次数: 0

Interactive Event Recognition in Video 视频中的交互式事件识别

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.24

Mennan Güder, N. Cicekli

{"title":"Interactive Event Recognition in Video","authors":"Mennan Güder, N. Cicekli","doi":"10.1109/ISM.2013.24","DOIUrl":"https://doi.org/10.1109/ISM.2013.24","url":null,"abstract":"In this paper, we propose a multi-modal decision-level fusion framework to recognize events in videos. The main parts of the proposed framework are ontology based event definition, structural video decomposition, temporal rule discovery and event classification. Various decision sources such as audio continuity, content similarity, and shot sequence characteristics together with visual video feature sets are combined with event descriptors during decision-level fusion. The method is considered to be interactive because of the user directed ontology connection and temporal rule extraction strategies. It enables users to integrate available ontologies such as Image Net and Word Net while defining new event types. Temporal rules are discovered by association rule mining. In the proposed approach, computationally I/O intensive requirements of the association rule mining is reduced by one-pass frequent item set extractor and the proposed rule definition strategy. Accuracy of the proposed methodology is evaluated by employing TRECVid 2007 high level feature detection data set by comparing the results with C4.5 decision tree, SVM classifiers and Multiple Correspondence Analysis.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"57 1","pages":"100-101"},"PeriodicalIF":0.0,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75958495","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

Structural Segmentation of Music Based on Repeated Harmonies 基于重复和声的音乐结构分割

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.48

W. B. Haas, A. Volk, F. Wiering

引用次数: 8

Detecting Musical Genre Borders for Multi-label Genre Classification 多标签音乐类型分类的音乐类型边界检测

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) Pub Date : 2013-12-09 DOI: 10.1109/ISM.2013.108

Hiroki Nakamura, Hung-Hsuan Huang, K. Kawagoe

引用次数: 4