Content-based image retrieval systems: A survey

By Remco C. Veltkamp, Mirela Tanase. 2000

655 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Three-dimensional shape searching: state-of-the-art review and future trends (2005, unknown): “[23,34–39].”
Reinforced Similarity Integration in Image-Rich Information Networks (2013, unknown): “Index Terms—Information retrieval, image mining, information network, ranking Ç”
Content-Based Image Retrieval Systems (2001, background): “Most content-based image retrieval systems are products of research, and therefore emphasize one aspect of content-based retrieval [ 23 ].”
Filtering Image Spam with Near-Duplicate Detection (2007, background): “Recently, researchers have used content-based image search techniques for nearduplicate image detection [9, 25].”
A Visual Category Filter for Google Images (2004, methodology): “While histogram approaches have been successful in Content Based Image Retrieval [2, 12, 21], they are unsuitable for our task since the within-class returns vary widely in colour and texture.”
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking (2017, background): “Recently, considerable attention [9], [10] has been paid to CBIR.”
Faceted metadata for image search and browsing (2003, background): “A good summary of content-based image retrieval can be found in [18].”