Software Engineering

Ramesh M. Kagalkar ¹, S. V. Gumaste ²

Affiliations
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

Abstract

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).

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Ramesh M. Kagalkar ¹, Kajal Chavan ¹, Asmita Jadhav ¹, Ravina Patil ¹, Asmita Rawool ¹

Affiliations
1 Dept of Computer Engineering, Dr. DYPTCET, Lohegaon, Pune, Maharashtra, IN

Abstract

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.

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Ajay Kadam ¹, Ramesh M. Kagalkar ¹

Affiliations
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, IN

Abstract

The proposed research objective is to add to a framework for programmed recognition of sound. In this framework the real errand is to distinguish any information sound stream investigate it & anticipate the likelihood of diverse sounds show up in it. To create and industrially conveyed an adaptable sound web crawler a flexible sound search engine. The calculation is clamor and contortion safe, computationally productive, and hugely adaptable, equipped for rapidly recognizing a short portion of sound stream caught through a phone microphone in the presence of frontal area voices and other predominant commotion, and through voice codec pressure, out of a database of over accessible tracks. The algorithm utilizes a combinatorial hashed time-recurrence group of stars examination of the sound, yielding ordinary properties, for example, transparency, in which numerous tracks combined may each be distinguished.

Keywords

Fingerprinting, Pure Tone, White Noise.

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