Database Paper Browser

Back to papers

PBIR - Perception-Based Image Retrieval

Summary: PBIR proposes perception-based image retrieval, grounding similarity in human perception and delivering a practical system. It learns the query concept via intelligent sampling, achieving accurate similarity with only a small set of labeled examples. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3319
Venue
SIGMOD
Year
2001
Pagerank
-
Overall Rank
13,828 | 3.81%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Semantically Similar Papers