Automatic Image Annotation using 2D MHMM

Chhotray, Anuvab (2015) Automatic Image Annotation using 2D MHMM. BTech thesis.



Automated Image Annotation is an important and challenging task in the field of computer vision and CBIR(Content-Based Image Retrieval). It has extensive use in research as well as personal fields. In this project, the same has been achieved with the help of a statistical method, namely a 2-dimensional multi-resolution hidden Markov model. Prior to classifying images by the system, it is trained using a set of images which are previously annotated using labels. Then the image to be annotated is compared against each trained model produced as a result of the previous step. This produces a parameter called likelihood. The label having the highest likelihood is assigned to the image.

Item Type:Thesis (BTech)
Uncontrolled Keywords:Hidden Markov Model, Content-Based Image Retrieval
Subjects:Engineering and Technology > Computer and Information Science > Image Processing
Divisions: Engineering and Technology > Department of Computer Science
ID Code:7487
Deposited By:Mr. Sanat Kumar Behera
Deposited On:12 May 2016 18:56
Last Modified:12 May 2016 18:56
Supervisor(s):Sa, P K

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