Image processing and Retrieval Trends: Compact Composite Descriptors

MMRetrieval.Net

In this web application, we present an experimental multimodal search engine, which allows multimedia and multi-language queries, and makes use of the total available information in a multimodal collection. All modalities are indexed and searched separately, and results can be fused with different methods depending on ■the noise and completeness characteristics of the modalities in a collection ■whether the user is in a need of high initial precision or high recall Beyond fusion, we also provide 2-stage retrieval by first thresholding the results obtained by secondary modalities targeting recall, and then re-ranking them based on the primary modality.

TRECFiles Evaluator

TRECFiles Evaluator (ver 0.1 BETA) calculates the efficiency of the MAP, ANMRR, P10, P20 and the MNRO in TREC Files (Trec Format), giving also to the user the ability to execute significance tests (ST). STs tell us whether an observed effect, such as a difference between two means or a correlation between two variables, could reasonably occur just by chance in selecting a random sample. This application uses a bootstrap test, one-tailed, at significance levels 0.05, 0.01, and 0.001, against a baseline run.

The LIRE (Lucene Image REtrieval) library provides a simple way to retrieve images and photos based on their color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR). Three of the available image features are taken from the MPEG-7 Standard: ScalableColor, ColorLayout and EdgeHistogram a fourth one, the Auto Color Correlogram has been implemented based on recent research results. Furthermore simple methods for searching the index and result browsing are provided by LIRE. The LIRE library and the LIRE Demo application as well as all the source are available under the Gnu GPL license.

CSPD is a MPEG-like descriptor that contains conventional contour and region shape features with a wide applicability from any arbitrary shape to document retrieval through word spotting. It is also, compact (it less than 16 bytes) and requires low computational cost. The obtained retrieval results are satisfactory in comparison with other MPEG-7 shapes descriptors. Particular, it has been designed with attention to its size and storage requirements, keeping it as small as possible without limiting its discriminating ability.

Caliph & Emir Caliph & Emir are MPEG-7 based Java prototypes for digital photo and image annotation and retrieval supporting graph like annotation for semantic metadata and content based image retrieval using MPEG-7 descriptors Read More

Image processing useful links

Image Processing Journals

Image Retrieval Systems

Benchmark databases for CBIR

Blogs/Web Sites I Follow/Suggest

Dr. George Sirakoulis Web Page and Blog

Dr Konstantinos Zagoris Web Page

Dr Avi Arampatzis Web Page

Dr Vasilios Vonikakis Web Page

Dr Oge Marques Blog

PIXEL SHAKERS

Dr Christian Timmerer Blog

Pages

Compact Composite Descriptors