Image and Video Retrieval: 4th International Conference, CIVR 2005, Singapore, July 20-22, 2005, ProceedingsWee-Kheng Leow, Michael S. Lew, Tat-Seng Chua, Wei-Ying Ma, Lekha Chaisorn, Erwin M. Bakker Springer, 2007. gada 22. maijs - 674 lappuses It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentation cum poster sessions. The latter provided an informal alternative forum for animated discussions and exchanges of ideas among the participants. We are pleased to note that interest in CIVR has grown over the years. The number of submissions has steadily increased from 82 in 2002, to 119 in 2003, and 125 in 2004. This year, we received 128 submissions from the international communities:with81(63.3%)fromAsiaandAustralia,25(19.5%)fromEurope, and 22 (17.2%) from North America. After a rigorous review process, 20 papers were accepted for oral presentations, and 42 papers were accepted for poster presentations. In addition to the accepted submitted papers, the program also included 4 invited papers, 1 keynote industrial paper, and 4 invited industrial papers. Altogether, we o?ered a diverse and interesting program, addressing the current interests and future trends in this area. |
No grāmatas satura
1.–5. rezultāts no 94.
1. lappuse
... Analysis Research Alexander G. Hauptmann School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 hauptmann@cs.cmu.edu Abstract. The overarching goal of the Informedia Digital Video Library project has been to ...
... Analysis Research Alexander G. Hauptmann School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 hauptmann@cs.cmu.edu Abstract. The overarching goal of the Informedia Digital Video Library project has been to ...
3. lappuse
... analysis of video and sensor data captured with wearable cameras. The promise of capturing your whole life was tantalizing, but the difficulties in getting useful video data out of an unsupervised, continuously moving and recording ...
... analysis of video and sensor data captured with wearable cameras. The promise of capturing your whole life was tantalizing, but the difficulties in getting useful video data out of an unsupervised, continuously moving and recording ...
4. lappuse
... analysis can be useful for speaker identification, segmentation, and for computational auditory scene analysis. While we have evidence that these audio analysis techniques can contribute to the effectiveness of the video retrieval ...
... analysis can be useful for speaker identification, segmentation, and for computational auditory scene analysis. While we have evidence that these audio analysis techniques can contribute to the effectiveness of the video retrieval ...
5. lappuse
... Analysis. The Informedia project regularly uses language analysis for labeling news stories with topics [4]. Our archives initially assigned over a thousand topic labels with high accuracy, but over time we found the training data ...
... Analysis. The Informedia project regularly uses language analysis for labeling news stories with topics [4]. Our archives initially assigned over a thousand topic labels with high accuracy, but over time we found the training data ...
6. lappuse
... analysis with face identification, manual metadata created externally is merged with automatically extracted information, multimedia abstractions allow users to see text, keyframes and metadata in flexible ways, as well as integration ...
... analysis with face identification, manual metadata created externally is merged with automatically extracted information, multimedia abstractions allow users to see text, keyframes and metadata in flexible ways, as well as integration ...
Saturs
1 | |
18 | |
38 | |
59 | |
Video Retrieval Techniques | 61 |
Video Story Segmentation and Event Detection | 82 |
Boundary Error Analysis and Categorization in the TRECVID News | 103 |
Semantics in Video Retrieval | 123 |
Style Similarity Measure for Video Documents Comparison | 307 |
Cyclic Sequence Comparison Using Dynamic Warping | 328 |
Advanced Documents Authoring Tool | 346 |
Using Projective Invariant Properties for Efficient 3D Reconstruction | 367 |
WebBased Hybrid Visualization of Medical Images | 376 |
A Robust Image Enhancement Technique for Improving Image Visual | 395 |
Localised Similarity Functions | 415 |
Towards Automatic Classification of 3D Museum Artifacts Using | 435 |
Image Indexing and Retrieval | 145 |
An Effective Multidimensional Index Strategy for Cluster | 164 |
ImageVideo Annotation and Clustering | 174 |
Automatic Image Semantic Annotation Based on ImageKeyword | 184 |
RegionBased Image Clustering and Retrieval Using Multiple Instance | 194 |
Interactive Video Retrieval and Others | 205 |
Assessing Effectiveness in Video Retrieval | 215 |
ImageVideo Retrieval Applications | 226 |
Hot Event Detection and Summarization by Graph Modeling | 229 |
Robust Methods and Representations for Soccer Player Tracking | 237 |
Modeling Multiobject Spatial Relationships for Satellite Image | 247 |
Domain Knowledge Ontology Building for Semantic Video Event | 267 |
Dialogue Sequence Detection in Movies | 286 |
EdgeBased Spatial Descriptor for ContentBased Image Retrieval | 454 |
A Novel Texture Descriptor Using OverComplete Wavelet Transform | 476 |
Region Filtering Using Color and Texture Features for Image | 487 |
Automated Image Annotation Using Global Features and Robust | 507 |
A Conceptual Image Retrieval Architecture Combining KeywordBased | 528 |
NaturalManMade Object Classification Based on Gabor | 550 |
Improvement on PCA and 2DPCA Algorithms for Face Recognition | 568 |
Learning Shapes for Image Classification and Retrieval | 589 |
Semantic Analysis of NNk Networks | 609 |
Automated Liver Detection in Ultrasound Images | 619 |
AspectBased Relevance Learning for Image Retrieval | 639 |
Improved AdaBoostBased Image Retrieval with Relevance Feedback | 660 |
Citi izdevumi - Skatīt visu
Image and Video Retrieval: 4th International Conference, CIVR 2005 ... Wee-Kheng Leow,Michael S. Lew,Tat-Seng Chua,Wei-Ying Ma,Lekha Chaisorn,Erwin M. Bakker Ierobežota priekšskatīšana - 2005 |
Image and Video Retrieval: 4th International Conference, CIVR 2005 ... Wee-Kheng Leow,Michael S. Lew,Tat-Seng Chua,Wei-Ying Ma,Lekha Chaisorn,Erwin M. Bakker Priekšskatījums nav pieejams - 2009 |
Bieži izmantoti vārdi un frāzes
AdaBoost algorithm analysis applied approach audio automatic average bandwidth Berlin Heidelberg 2005 boundaries camera CBIR CIVR classifier clips cluster color color histogram Computer Vision Conf content-based image retrieval correlogram corresponding dataset defined descriptors distance distribution document domain evaluation example experiments extracted face detections feature extraction feature space feature vectors Figure filter fractal frames function Gabor Gabor filter graph histogram IEEE Image and Video indexing information retrieval interactive kernel key frame keywords label learning Leow LNCS machine learning matching matrix Multimedia object movie ontology paper parameters pixels precision Proc query rank recognition region relevance feedback represent representation retrieval performance retrieval system selected sequence shape shown shows similarity measure spatial Springer-Verlag Berlin Heidelberg story segmentation Support Vector Machines Table techniques texture topics trajectories TRECVID video retrieval visual features