Call of Papers for Current Volume ********************OnLine Paper Submission for Current Volume

Volume & Issue no: Volume 6, Issue 2, March - April 2017

____________________________________________________________________________________________________

Title:
Image Annotation by Using Dictionary Learning Approach
Author Name:
Chetan Jagdale, Akshay dani,Ramanand Kshirsagar, Harshal Chitte, Prof. R. G. Raut
Abstract:
Abstract: Image annotation has attracted a lot of research interest, and multi-label learning is an effective technique for image annotation. How to effectively exploit the underlying correlation among labels is a crucial task for multi-label learning. Most existing multi-label learning methods exploit the label correlation only in the out-put label space, leaving the connection between the label and the features of images untouched. Although, recently some methods attempt toward exploiting the label correlation in the input feature space by using the label information, they cannot effectively conduct the learning process in both the spaces simultaneously and there still exists much room for improvement. Multi-Label learning approach, named Multi-Label Dictionary Learning (MLDL) with label consistency regularization and partial-identical label embedding MLDL, which conducts MLDL and partial-identical label embedding simultaneously. In the input feature space, it incorporates the dictionary learning technique into multi-label learning and designs the label consistency regularization term to learn the better representation of features. In the output label space, it design the partial-identical label embedding, in which the samples with exactly same label set can cluster together, and the samples with partial-identical label sets can collaboratively represent each other. Experimental results on the three widely used image datasets, including Corel 5K, IAPR TC12, and ESP Game, demonstrate the effectiveness of the proposed approach. Keywords: Automatic Image annotation, Training image features, MLDL, Corel5K, IAPR, Testing image features.
Cite this article:
Chetan Jagdale, Akshay dani,Ramanand Kshirsagar, Harshal Chitte, Prof. R. G. Raut , " Image Annotation by Using Dictionary Learning Approach" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 2, March - April 2017 , pp. 188-191 , ISSN 2278-6856.
Full Text [PDF]                           Back to Current Issue

NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week. 

 

Contact us


International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
Frequency : 6 Issues/Year


E-mail: editor@ijettcs.org