CoPhIR Image Collection under the Microscope

The Content-based Photo Image Retrieval (CoPhIR) dataset is the largest available database of digital images with corresponding visual descriptors. It contains five MPEG-7 global descriptors extracted from more than 106 million images from Flickr photo-sharing system. In this paper, we analyze this...

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Vydáno v:	Proceedings of the 2009 Second International Workshop on Similarity Search and Applications s. 47 - 54
Hlavní autoři:	Batko, Michal, Kohoutkova, Petra, Novak, David
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Washington, DC, USA IEEE Computer Society 29.08.2009 IEEE
Edice:	ACM Conferences
Témata:	Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems Computing methodologies > Computer graphics > Image manipulation Computing methodologies > Machine learning > Learning paradigms > Unsupervised learning > Cluster analysis Content based retrieval CoPhIR dataset Data analysis dataset analysis Digital images Extraterrestrial measurements Image databases Image retrieval Information retrieval Information systems > Information retrieval Information systems > Information retrieval > Evaluation of retrieval results Information systems > Information systems applications > Multimedia information systems > Multimedia databases metric space Microscopy MPEG 7 Standard MPEG-7 Visual databases visual descriptors metric space MPEG-7 dataset analysis CoPhIR dataset visual descriptors
ISBN:	9780769537658, 0769537650
On-line přístup:	Získat plný text
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