CBIR

Content-based image retrieval

Conferences!

Two very important events in the world of Information Retrieval, Image Retrieval and Computer Vision:

Wavelet and Applications
Graphicon
Russir
Conferences listing
ISVC

Written by Sergey Egorov
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Visualization aids us to perceive information!

Different interesting variants of visual results presentations:
Spatial Visualization for Content-Based Image Retrieval
Google Demo
Viper – Multimedia Information Retrieval (Geneve University)
Interesting browser plugin (survey in Russian) and the official site
Tag cloud for images (right top corner)
CloudTuner – visual constructor (Israel search engine)
CoolFlick and the article about it
One more example
Sbrows (the interesting navigation)
Written by Sergey Egorov
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Specific web search engines, services, startups and research groups – search of next generation!

What is a new search concept? Watch this video and read this article (in Russian) to realize it fully.
Video retrieval (by means of CBIR techniques):
Viewdle – video search engine. Faces search in video-archives.
Video Google Demo. Search of similar scenes by image fragments.
TV news processing. Carnegie Mellon University.
Columbia University:
An object oriented video search engine. Search of [...]

Do web search giants and smaller ones neglect image retrieval?

Ignoring image retrieval, based on visual characteristics, is, at least, short-sighted search policy. Of course, direct search by image example in large databases is very time-expensive process. Most web engines offer different instruments for more precise (visual similar) search in hits, received after text query.
Google has it’s own Google Similar Images Labs. So we can [...]

In solving what tasks can CBIR aid?

Here the most actual applications of CBIR are presented:

detection of objectionable content (porno, erotics and so on);
person identification (by means of face detection and recognition techniques), matching with celebrities (like Picitup Celebrity Match);
criminal identification (fingerprint, face, iris);
search by image sample, outline and sketch (by colour, set of colours, texture, shape, spatial layout and other features);
search [...]