Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Senthil, K.

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    O3 - A webpage preprocessing tool
    (SciTePress, 2015) Senthil, K.; Bhat, K.S.; Jamadagni, N.; Sureshan, S.; Prasad, G.
    One of the prime factors for the success of the internet is determined by the time taken to load a web page. Even a difference of a few hundred milliseconds in the response time will largely affect the number of users of a web page to shift from one to the other. So, in the commercial market, providing quick service to the users is of utmost importance in remaining ahead of competitors. In this paper, we mainly address this issue by applying various optimization techniques at the front-end to improve the user experience by reducing the load time of the web pages. Though the overall optimization is purely web page-dependent, the optimization techniques not only reduce the time taken to load the page, but also reduce the load on the server.
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    A content-based visual information retrieval approach for automated image annotation
    (Springer Verlag service@springer.de, 2018) Senthil, K.; Arun, A.; Kamath S․, S.
    Today’s digital world is filled with a vast multitude of content such as text and multimedia. Various attempts are being made to develop modern and powerful search engines in order to support diverse queries on this large collection of textual and multimedia data. For supporting intelligent search, particularly for multimedia data such as images, additional metadata plays a crucial role in helping a search engine handpick the most relevant information for a query. A common technique that is used to generate pertinent metadata for visual multimedia content is by the process of annotation. Automating the annotation process given the large volume of visual content available on the Web is highly advantageous. In this paper, we propose an automated image annotation system that employs a content-based visual information retrieval technique using certain features of the image. Experimental evaluation and analysis of the proposed work have shown promising results. © Springer Nature Singapore Pte Ltd. 2018.