2007
Journal article  Restricted

The SAPIR Project: Executing A/V Complex Queries in Peer-to-Peer Systems

Gennaro C., Perego R., Rabitti F.

Similarity Search  Metric Space  Peer-to-Peer 

Searching for non-text data (eg, images) is mostly done by means of metadata annotations or by extracting the text close to the data. However, supporting real content-based audio-visual search, based on similarity search on features, is significantly more expensive than searching for text. Moreover, the search exhibits linear scalability with respect to the data set size. The European project SAPIR is currently addressing this problem.

Source: ERCIM news 70 (2007): 62–63.

Publisher: ERCIM., Le Chesnay



Back to previous page
BibTeX entry
@article{oai:it.cnr:prodotti:68420,
	title = {The SAPIR Project: Executing A/V Complex Queries in Peer-to-Peer Systems},
	author = {Gennaro C. and Perego R. and Rabitti F.},
	publisher = {ERCIM., Le Chesnay},
	journal = {ERCIM news},
	volume = {70},
	pages = {62–63},
	year = {2007}
}