Content based Cartoon Character Retrieval (Graduate Project)

This project is based on the application of Content based Cartoon Character Retrieval CBCCR). Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. "Content-based" means that the search will analyze the actual contents of the image rather than the meta data such as keywords, tags, and/or descriptions associated with the image. The term 'content' in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. It having humans manually enter keywords for images in a large database can be inefficient, expensive and may not capture every keyword that describes the image. Thus a system that can filter images based on their content would provide better indexing and return more accurate results. We use MATLAB 2010 for our experiment.

Our Experiment:

Experiment Evaluation: We take top N (in out program hardcoded to 20) closest images to the query. Then it will check how many images are in the same group as the query image and finally calculate the retrieval percentage. Here is some output of baseline experiment and our own experimented output.

What is my responsibility for doing this project?

I was the team leader of this project. I was coding using MATLAB 2010.