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» Combining Textual and Visual Features for Image Retrieval
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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
15 years 10 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
TMM
2010
133views Management» more  TMM 2010»
14 years 4 months ago
Cross-Media Alignment of Names and Faces
In this paper we report on our experiments on aligning names and faces as found in images and captions of online news websites. Developing accurate technologies for linking names a...
Phi The Pham, Marie-Francine Moens, Tinne Tuytelaa...
WWW
2003
ACM
15 years 10 months ago
Ontology-Based Image Retrieval
The binary form of an image does not tell what the image is about. It is possible to retrieve images from a database using pattern matching techniques, but usually textual descript...
Avril Styrman, Eero Hyvönen, Kim Viljanen, Sa...
ISVC
2007
Springer
15 years 3 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
VLDB
2000
ACM
121views Database» more  VLDB 2000»
15 years 1 months ago
Optimizing Multi-Feature Queries for Image Databases
In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature que...
Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s...