Paper
26 February 2010 Automatic annotation of image and video using semantics
A. R. Yasaswy, K. Manikanta, P. Sri Vamshi, Shashikala Tapaswi
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462F (2010) https://doi.org/10.1117/12.853434
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
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%.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. R. Yasaswy, K. Manikanta, P. Sri Vamshi, and Shashikala Tapaswi "Automatic annotation of image and video using semantics", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462F (26 February 2010); https://doi.org/10.1117/12.853434
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KEYWORDS
Video

Image retrieval

Databases

Image processing

Semantic video

Image segmentation

Video processing

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