IJSPR: Volume 05 Number 03
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IJSPR - Volume 05, Number 03

Published On : November 2014
SNo. Paper Title & Authors Page
Abstract: Images are the will increase day by day on the web world. The Retrieving relevant images from an outsized assortment of information has become an important analysis topic. This paper specialize in the re-ranking of images by utilizing the various options. Thus given a matter question in ancient image retrieval, relevant pictures are to be re-ranked victimization options when the initial text based search. Victimization single modality isn't effective as totally different completely different} image want different quite feature for analysis and it absolutely was obtained in papers that the multi-modal re-ranking approach has higher performance than victimization single modality.
Keywords- Information Extraction, Text Analysis, Ontology, feature extraction, text categorization, clustering.
Abstract: Mobile devices do not have sufficient resources, such as battery life, network bandwidth, storage capacity and processor performance. As Smart phones are becoming more popular, more new mobile applications are emerging and has great attention, these applications needs increasing computational power. So a challenge arises between the mobile applications that requires large amount of resources and mobile devices that does not have sufficient resources .To solve this problem, cloud computing services are used in mobile devices. This paper provides overview on mobile cloud computing and computation offloading techniques.
Keywords- Mobile cloud computing, offloading computation, Nash equilibrium, mob-aware.
Abstract: Diabetic Retinopathy (DR) is yet another problem faced with those people who have diabetes. Diabetes damages tiny blood vessels inside the retina causing degradation. As diabetic retinopathy becomes more severe, new blood vessels begin to form on the retina that could break and cause severe vision loss. The diagnosis of diabetic retinopathy is based on clinical eye examination and eye fundus photography. The self diagnosis of diabetic retinopathy is extremely difficult if diabetes is not suspected, verified from the blood samples or visual impairment is not present. From the input retinal image, the pre-processing step is carried out in order to create better image. Then segmentation of regions is carried out and the features are extracted. Based on the features the retinal image is classified as normal or DR images.
Keywords- Fundus image, Diabetic Retinopathy, Classification.