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|
|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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