Call For Paper Volume:4 Issue:6 Jun'2017

A Review: MIML Framework and Image Annotation

Publication Date : 31/07/2014

Author(s) :

Keyur Tank , Prof. Praveen Bhanodia , Prof. Pritesh Jain.

Volume/Issue :
Volume 1
Issue 1
(07 - 2014)

Abstract :

This review paper creates a bridge between MIML classification framework and Image annotation. There are generally four classification frameworks, known as Single Instance Single Label (SISL), Multi-Instance Learning (MIL), Multi-Label Learning (MLL) and Multi-Instance Multi-Label Learning (MIML). This paper introduces various classification frameworks with examples and related algorithms. An annotation is one type of metadata that can be attached to any video, image (2D/3D), text, audio and other data in the form of explanation, comments, navigation or presentational markup. This paper briefly introduces different types of annotation, annotation dataset, techniques and current research challenges in annotations

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A Review: MIML Framework and Image Annotation

December 2, 2014