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Proceedings Paper

Automatic annotation of image and video using semantics
Author(s): A. R. Yasaswy; K. Manikanta; P. Sri Vamshi; Shashikala Tapaswi
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Paper Abstract

The accumulation of large collections of digital images has created the need for efficient and intelligent schemes for content-based image retrieval. Our goal is to organize the contents semantically, according to meaningful categories. Automatic annotation is the process of automatically assigning descriptions to an image or video that describes the contents of the image or video. In this paper, we examine the problem of automatic captioning of multimedia containing round and square objects. On a given set of images and videos we were able to recognize round and square objects in the images with accuracy up to 80% and videos with accuracy up to 70%.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462F (26 February 2010); doi: 10.1117/12.853434
Show Author Affiliations
A. R. Yasaswy, Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (India)
K. Manikanta, Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (India)
P. Sri Vamshi, Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (India)
Shashikala Tapaswi, Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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