Case Studies-Reference-Cited by-同舟云学术

Case Studies

Published:2013 Issue: Volume: Page:329-369
ISSN:2327-1981
Container-title:Advances in Data Mining and Database Management
language:
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Author:

Pein Raoul Pascal¹,Lu Joan¹,Renz Wolfgang²

Affiliation:

1. University of Huddersfield, UK

2. Hamburg University of Applied Sciences, Germany

Abstract

This chapter discusses several case studies to evaluate the methods introduced in chapter 23, Methods. Each case study focuses on a specific issue and the advanced cases build up on previous findings. The first ones are dealing with the low-level fv directly and then the scope widens to the interrelationship of multiple fv until their combination within a single query is used as a mapping rule for higher-level semantics (i.e. categories).

Publisher

IGI Global

Reference15 articles.

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3. Fei-Fei, L., Fergus, R., & Perona, P. (2004). Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. In International Conference on Computer Vision and Pattern Recognition (CVPR'04, Workshop on Generative-Model Based Vision).

4. Fast multiresolution image querying.;C. E.Jacobs;Computer Graphics,1995

5. Leibe, B., Leonardis, A., & Schiele, B. (2004, May). Combined object categorization and segmentation with an implicit shape model. In Proceedings of the Workshop on Statistical Learning in Computer Vision, Prague, Czech Republic.