Annotation techniques for Query-By-Concept Approach in Image Retrieval System

Post on 20-Jan-2016

29 views 1 download

description

Annotation techniques for Query-By-Concept Approach in Image Retrieval System. Rakesh Kamatham Venkata. Introduction. Need for Image Retreival System Different Approaches Query-by-Example(QBE) Query-by-Concept(QBC). Techniques for QBC. Monotonic Tree - PowerPoint PPT Presentation

Transcript of Annotation techniques for Query-By-Concept Approach in Image Retrieval System

Annotation techniques for Query-By-Concept Approach in Image Retrieval System

Rakesh Kamatham Venkata

Introduction

Need for Image Retreival System Different Approaches

Query-by-Example(QBE) Query-by-Concept(QBC)

Techniques for QBC

Monotonic Tree ASIA: Automated Sampling-Image

Annotation

Monotonic Approach

Organizes the image in Heirarchial Structure

Components of the system

Image Database Feature Extraction Image Querying

Case Studies:

Building

ASIA Technique

Annotation is done by high level concepts such as ‘car’, ‘water’ etc.

Datbase images are matched based on the concept.

ASIA Algorithm

ASIA (contd..)

Experimental Studies

Conclusion

Monotonic approach annotates the images based on a model. The model does not differentiate the real world objects.

AISA approach can annotate the images which are complex. It does the matching offline and is much faster in retrieving the image.

Questions ?