Modelling of Visual Feature Derivation in the VizIR Framework

By Horst Eidenberger

Abstract

If visual information retrieval should make further progress, it will be necessary to identify new ways to derive visual properties from higher levels of understanding than the pixel level (e.g. from low-level features). The paper outlines the implementation of modelling of feature hierarchies in the visual information retrieval framework VizIR (free under GPL). The approach allows for the derivation of high-level features from low-level features by aggregation and localisa-tion as well as semantic enrichment with additional knowl-edge. The technical implementation is based on the MPEG-7 structures for aggregation and specialisation.

Reference

H. Eidenberger: "Modelling of Visual Feature Derivation in the VizIR Framework"; Talk: EURASIP European Signal Processing Conference, Wien; 09-06-2004 - 09-09-2004; in: "EURASIP European Signal Processing Conference", (2004).

BibTeX

@inproceedings{TUW-138544,     author = {Eidenberger, Horst},     title = {Modelling of Visual Feature Derivation in the VizIR Framework},     booktitle = {EURASIP European Signal Processing Conference},     year = {2004},     url = {http://publik.tuwien.ac.at/files/PubDat_138544.pdf},     keywords = {VizIR, MPEG-7, Feature Selection},     note = {talk: EURASIP European Signal Processing Conference, Wien; 2004-09-06 -- 2004-09-09} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.