2009 Seventh International Workshop on Content-Based Multimedia Indexing最新文献_第3页

Hierarchical Summarisation of Video Using Ant-Tree Strategy 基于蚁树策略的视频分层摘要

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.50

T. Piatrik, E. Izquierdo

引用次数: 3

Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain 基于运动矢量的MPEG压缩域运动目标检测与跟踪

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.33

T. Yokoyama, Toshiki Iwasaki, Toshinori Watanabe

{"title":"Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain","authors":"T. Yokoyama, Toshiki Iwasaki, Toshinori Watanabe","doi":"10.1109/CBMI.2009.33","DOIUrl":"https://doi.org/10.1109/CBMI.2009.33","url":null,"abstract":"As MPEG standards prevail, the opportunities to handle MPEG compressed videos increase, and the video indexing and management that can directly process the compressed videos become important. MPEG video coding standards use motion compensation to compress video data, and the motion compensation generates motion vectors that contain motion information similar to optical flows between regions in different frames. Although motion vectors are useful for video analysis, they are not always generated along moving objects, and it is difficult to analyze moving objects using only these vectors. In this paper, we propose a moving object detection and tracking method in the MPEG compressed domain for video surveillance and management. In our method, we introduce images that record moving regions and accumulate unmoving regions in which the moving objects are expected to exist after the current frame. By utilizing these images, we can detect and track moving objects using only motion vectors even if the motion vectors of moving objects become zero vectors due to their behaviors and are lost due to their picture type. We demonstrate the effectiveness of the proposed method through several experiments using actual videos acquired by an MPEG video camera.","PeriodicalId":417012,"journal":{"name":"2009 Seventh International Workshop on Content-Based Multimedia Indexing","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115001418","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: 31

Query Generation from Multiple Media Examples 从多个媒体示例生成查询

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.13

Reede Ren, J. Jose

引用次数: 1

Picadomo: Faceted Image Browsing for Mobile Devices Picadomo:移动设备的面形图像浏览

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.34

Adrian Hub, Daniel Blank, A. Henrich, W. Müller

引用次数: 8

Scalable Spatio-Temporal Video Indexing Using Sparse Multiscale Patches 基于稀疏多尺度补丁的可扩展时空视频索引

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.48

Paolo Piro, S. Anthoine, E. Debreuve, M. Barlaud

引用次数: 0

Model-Driven Design of Audiovisual Indexing Processes for Search-Based Applications 基于搜索应用的视听索引过程的模型驱动设计

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.51

P. Fraternali, M. Brambilla, A. Bozzon

引用次数: 3

A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification L_1范数与L_2范数多核支持向量机在图像和视频分类中的比较

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.44

F. Yan, K. Mikolajczyk, J. Kittler, M. Tahir

引用次数: 20

Compound Document Analysis by Fusing Evidence Across Media 跨媒体融合证据的复合文献分析

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.35

S. Nikolopoulos, Christina Lakka, Y. Kompatsiaris, Christos Varytimidis, Konstantinos Rapantzikos, Yannis Avrithis

引用次数: 3

Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification 基于三角核的语义场景分类核判别分析

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.47

M. Tahir, J. Kittler, F. Yan, K. Mikolajczyk

{"title":"Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification","authors":"M. Tahir, J. Kittler, F. Yan, K. Mikolajczyk","doi":"10.1109/CBMI.2009.47","DOIUrl":"https://doi.org/10.1109/CBMI.2009.47","url":null,"abstract":"Semantic scene classification is a challenging research problem that aims to categorise images into semantic classes such as beaches, sunsets or mountains. This problem can be formulated as multi-labeled classification problem where an image can belong to more than one conceptual class such as sunsets and beaches at the same time. Recently, Kernel Discriminant Analysis combined with spectral regression (SR-KDA) has been successfully used for face, text and spoken letter recognition. But SR-KDA method works only with positive definite symmetric matrices. In this paper, we have modified this method to support both definite and indefinite symmetric matrices. The main idea is to use LDLT decomposition instead of Cholesky decomposition. The modified SR-KDA is applied to scene database involving 6 concepts. We validate the advocated approach and demonstrate that it yields significant performance gains when conditionally positive definite triangular kernel is used instead of positive definite symmetric kernels such as linear, polynomial or RBF. The results also indicate performance gains when compared with the state-of-the art multi-label methods for semantic scene classification.","PeriodicalId":417012,"journal":{"name":"2009 Seventh International Workshop on Content-Based Multimedia Indexing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117118131","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

Multimodal Space for Rushes Representation and Retrieval 快件表示与检索的多模态空间

2009 Seventh International Workshop on Content-Based Multimedia Indexing Pub Date : 2009-06-03 DOI: 10.1109/CBMI.2009.28

Sergio Benini, Luca Canini, P. Migliorati, R. Leonardi

引用次数: 3