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Kagalkar, Ramesh M.
- Automatic Graph Based Clustering for Image Searching and Retrieval from Database
Authors
1 Dept. of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology Lohegaon, Pune, IN
2 Dept. of Computer Engineering, R.H. Chaapte College of Engineering Nashik, IN
Source
Software Engineering, Vol 8, No 2 (2016), Pagination: 39-49Abstract
Content-based image retrieval and searching is one of the most burning issues in the field of multimedia computing. Human perception is not understood well enough to automate the retrieval process. In this work we have designed a system for content-based image searching. This system uses multiple cues (features) for image searching and retrieval. Since most of the features have some drawbacks, we use the cues that are free from drawbacks like geometrical transforms and viewpoint variation. We present the results based on these cues. A heuristic for combining the result of different cues to increase the accuracy of the system is developed. Databases of different size were used to estimate the accuracy of the system. Global shape descriptor of images and object based descriptors are extracted for the retrieval of images. Multimedia databases are very big in size, so we cannot go for exhaustive searching of images from these databases. For this purpose an automatic graph-based clustering algorithm is developed to reduce the searching time of the images from the database. The proposed algorithm works on the concept of minimum spanning tree that removes the inconsistent edges from tree, based on the dynamic threshold provided to the algorithm. The proposed algorithm reduces the search time for the retrieval without much loss in the accuracy. We found out that careful combination of the different cues, based on our proposed heuristic, can increase the retrieval accuracy up to a noticeable extent.
Keywords
Content-Based Image Retrieval (CBIR), Colour Coherent Vectors (CCV) and Query by Image Content (QBIC).- Self-Educating Tool Kit for Kids
Authors
1 Dept of Computer Engineering, Dr. DYPTCET, Lohegaon, Pune, Maharashtra, IN
Source
Software Engineering, Vol 8, No 1 (2016), Pagination: 11-16Abstract
In this paper, we deliver a top level view of an interactive self -gaining knowledge of tool which we have got developed for kid’s elderly from 1 to 5 years antique in India. Through developing this software, we goal at promoting self-mastering and growing facts and verbal exchange era capabilities amongst the children in India. The getting to know device developed is based totally specifically on the science curricula blanketed at higher primary and decrease secondary levels, inside the Indian schools. Our software program does no longer intend to render out of date or replace the prevailing pedagogical processes. However, it's going to complement the existing teaching and gaining knowledge of methods.
Keywords
E-Learning, Information and Communication Technology.- A Review Paper on Predictive Sound Recognition System
Authors
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, IN