Context-based Sketch Classification

MPhil Thesis Defence


Title: "Context-based Sketch Classification"

By

Mr. Jianhui ZHANG


Abstract

Most of existing methods perform sketch classification by considering 
individually sketched objects and often fail to identify their correct 
categories, due to the highly abstract nature of sketches.We present a 
novel context-based sketch classification framework using relations 
extracted from scene images. For a sketched scene containing multiple 
objects, we propose to classify a sketched object by considering its 
surrounding context in the scene, which provides vital cues for 
alleviating its recognition ambiguity. We learn such context knowledge 
from a database of scene images by summarizing the inter-object relations 
therein, such as co-occurrence, relative positions and sizes. We show that 
the context information can be used for both incremental sketch 
classification and sketch co-classification. Our method outperforms a 
state-of-the-art single-object classification method, evaluated on a new 
dataset of sketched scenes.


Date:			Monday, 24 June 2019

Time:			10:00am - 12:00noon

Venue:			Room 3494
 			Lifts 25/26

Committee Members:	Prof. Chiew-Lan Tai (Supervisor)
 			Dr. Pedro Sander (Chairperson)
 			Dr. Xiaojuan Ma


**** ALL are Welcome ****