Ms. Rashmi Prabhakara Profile

Rashmi Prabhakara

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Proceedings Article | 28 March 2005 Paper

Web image retrieval using an effective topic and content-based technique

Ching-Cheng Lee, Rashmi Prabhakara

Proceedings Volume 5812, (2005) https://doi.org/10.1117/12.601946

KEYWORDS: Image retrieval, Image processing, Internet, Databases, Visualization, Video, Infrared imaging, Feature extraction, Image segmentation, Multimedia

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There has been an exponential growth in the amount of image data that is available on the World Wide Web since the early development of Internet. With such a large amount of information and image available and its usefulness, an effective image retrieval system is thus greatly needed. In this paper, we present an effective approach with both image matching and indexing techniques that improvise on existing integrated image retrieval methods. This technique follows a two-phase approach, integrating query by topic and query by example specification methods. In the first phase, The topic-based image retrieval is performed by using an improved text information retrieval (IR) technique that makes use of the structured format of HTML documents. This technique consists of a focused crawler that not only provides for the user to enter the keyword for the topic-based search but also, the scope in which the user wants to find the images. In the second phase, we use query by example specification to perform a low-level content-based image match in order to retrieve smaller and relatively closer results of the example image. From this, information related to the image feature is automatically extracted from the query image. The main objective of our approach is to develop a functional image search and indexing technique and to demonstrate that better retrieval results can be achieved.

Proceedings Article | 17 January 2005 Paper

A novel methodology for querying web images

Rashmi Prabhakara, Ching Cheng Lee

Proceedings Volume 5670, (2005) https://doi.org/10.1117/12.585714

KEYWORDS: Image retrieval, Databases, Internet, Image processing, Visualization, Multimedia, Video, Feature extraction, Image segmentation, Infrared imaging

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Ever since the advent of Internet, there has been an immense growth in the amount of image data that is available on the World Wide Web. With such a magnitude of image availability, an efficient and effective image retrieval system is required to make use of this information. This research presents an effective image matching and indexing technique that improvises on existing integrated image retrieval methods. The proposed technique follows a two-phase approach, integrating query by topic and query by example specification methods. The first phase consists of topic-based image retrieval using an improved text information retrieval (IR) technique that makes use of the structured format of HTML documents. It consists of a focused crawler that not only provides for the user to enter the keyword for the topic-based search but also, the scope in which the user wants to find the images. The second phase uses the query by example specification to perform a low-level content-based image match for the retrieval of smaller and relatively closer results of the example image. Information related to the image feature is automatically extracted from the query image by the image processing system. A technique that is not computationally intensive based on color feature is used to perform content-based matching of images. The main goal is to develop a functional image search and indexing system and to demonstrate that better retrieval results can be achieved with this proposed hybrid search technique.

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