AUTOMATIC IMAGE ANNOTATION USING L1- PENALIZED LOGISTIC REGRESSION
Volume: 4 - Issue: 01 - Date: 01-01-2015
Approved ISSN: 2278-1412
Published Id: IJAECESTU234 | Page No.: 405-408
Author: Arun Kumar
Co- Author: Nishchol Mishra,Sanjeev Sharma
Abstract:-The task of automatic image annotation is of great interest because it can play a
crucial role in building an effective engine for image retrieval. Assigning descriptive keywords to
images allows users to search for images using only text-based queries. Evaluating the
performance of an image retrieval engine is different than that of an annotation engine because in
retrieval we are only interested in the quality of the first few images associated with a given
keyword. Following (Carneiro et al., 2007), we have reported the average retrieval precision over
all keywords, as well as just the recalled keywords, for the first 10 retrieved images. It is widely
acknowledged that image annotation is an open and very difficult problem in computer vision.
Solving this problem at the human level may, perhaps, require that the problem of scene
understanding be solved first. However, identif
Key Words:-Image Annotation, JEC, PENALIZED LOGISTIC REGRESSION, HAAR
Area:-Engineering
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