Open Access Open Access  Restricted Access Subscription or Fee Access

High Performance EMID Framework for Automatic Image Annotation and Retrieval

T. Sumadhi, M. Hemalatha


With the enormous growth of digital cameras, the computer society has witnessed great significance and challenge in automatic image annotation as a current research field. Automatic image annotation is an efficient method to resolve the problem of “Semantic Gap”. Image auto-annotation is a challenging problem when a label is provided for the entire training image only instead of the object region. To eliminate labeling ambiguity, image categorization and object localization should be performed simultaneously. Discriminative Multi-Instance Multi-label Learning (MIML) framework can be used for this work by considering each image as a bag and sub-windows in the image as instances. With standard traditional approaches, selecting only one positive sub-window per positive bag may reduce the search space for global optimum; meanwhile, selecting all temporal positive sub-windows may add noise into learning. Hence to solve this issue we propose a new approach which selects a subset of sub-windows per positive bag. Our Proposed Enhanced Multi Instance Differentiation (EMID) algorithm is able to acquire the correlation among instances, correlation among labels, and correlation between instances and labels concurrently, and provides a very good representation and learning prospective. The obtained experimental results obtained reveal that our approach performs extensively better than the existing discriminative MIML approaches and traditional categorization approaches.


joint Ada boost algorithm, Instance differentiation algorithm, image annotation, image retrieval, object detection and categorization.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.