Paper
26 February 2010 Content based image and video retrieval
Shubhangi H. Patil, P. P. Belegali, Patil B. S., Mohite T. H., Dhobale Dhanashri D.
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462O (2010) https://doi.org/10.1117/12.856296
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
The growing capacity of computers, the abundance of digital cameras and the increased connectivity of the world all point to large digital multimedia archives. They include images and videos from the World Wide Web, museum objects, flowers, trademarks, and views from everyday life. The faster they grow, the more prominently needed is the efficient access to the content of the images and videos. In this paper we have given important step of feature extraction, will be discussed in detail such as color, shape and texture information, particularly paying attention to discriminatory power and invariance. Then, we focus on the concepts of indexing and genre classification as intermediate step to sort the data. We pay attention to (interactive) ways to perform browsing and retrieval by means of information visualization and relevance feedback. Methods are being discussed to localize the retrieved objects in images. We adopt a hybrid approach for such text extraction by exploiting a number of characteristics of text blocks in color images and video frames. Our system detects both caption text as well as scene text of different font, size, color and intensity. Such texts are used for retrieval of video clips based on any given keyword. Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shubhangi H. Patil, P. P. Belegali, Patil B. S., Mohite T. H., and Dhobale Dhanashri D. "Content based image and video retrieval", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462O (26 February 2010); https://doi.org/10.1117/12.856296
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KEYWORDS
Image retrieval

Video

Image segmentation

Feature extraction

Computing systems

Databases

Distance measurement

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