Mr. Kai Zhang Profile

Kai Zhang

at Wuhan Univ of Technology

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Proceedings Article | 21 July 2017 Paper

Image annotation based on positive-negative instances learning

Kai Zhang, Jiwei Hu, Quan Liu, Ping Lou

Proceedings Volume 10420, 104201T (2017) https://doi.org/10.1117/12.2281765

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Automatic image annotation is now a tough task in computer vision, the main sense of this tech is to deal with managing the massive image on the Internet and assisting intelligent retrieval. This paper designs a new image annotation model based on visual bag of words, using the low level features like color and texture information as well as mid-level feature as SIFT, and mixture the pic2pic, label2pic and label2label correlation to measure the correlation degree of labels and images. We aim to prune the specific features for each single label and formalize the annotation task as a learning process base on Positive-Negative Instances Learning. Experiments are performed using the Corel5K Dataset, and provide a quite promising result when comparing with other existing methods.

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