CCIS Talk: Image Retrieval using Deep Learning Techniques by Hsueh-Ming Hang

You are cordially invited to attend the following CCIS event:

Title: Image Retrieval using Deep Learning Techniques
Date: 12th August 2016 (Friday)
Time: 11:00 am – 12:30 pm
Venue: N007, UTAR Kampar Campus, Perak
Speaker: Prof. Dr. Hsueh-Ming Hang, NCTU
Admission: Free

Abstract:
Due to the rapid growth of image number, the content-based image retrieval for a large database becomes an essential tool in image processing. Although there are many published studies on this topic, it is still a challenge to do an advanced search, for example, retrieving a specific building using a view different from the photographing angles in the database. In addition, if the user can provide additional images for query, how do we combine the information provided by these multiple queries? In this study, we test two different types of image features designed for retrieval purpose. We adopt the Scale-Invariant Feature Transform (SIFT) feature as the low-level feature and the Convolutional Neural Network (CNN) feature as the high-level feature. Several levels of data fusion schemes are proposed. The first one is combining the features of the 6th layer features and the 7th layer features derived from CNN. The second one is combining the information provided by the SIFT features and the CNN features. The third one is combining the information provided by multiple queries. When appropriate, we try both early fusion concept and the late fusion concept. Our best proposed scheme can exceed most of the state-of-the-art retrieval methods for a single query. And the multi-query retrieval can further increase the retrieval accuracy.

Biography:

Hsueh-Ming Hang received the B.S. and M.S. degrees from National Chiao Tung University, Hsinchu, Taiwan, in 1978 and 1980, respectively, and Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute, Troy, NY, in 1984.
From 1984 to 1991, he was with AT&T Bell Laboratories, Holmdel, NJ, and then he joined the Electronics Engineering Department of National Chiao Tung University (NCTU), Hsinchu, Taiwan, in December 1991.
From 2006 to 2009, he took a leave from NCTU and was appointed as Dean of the EECS College at National Taipei University of Technology (NTUT). He is currently the Dean of the ECE College, NCTU.
He has been actively involved in the international MPEG standards since 1984. Dr. Hang holds 13 patents (Taiwan, US and Japan) and has published over 190 technical papers related to image compression, signal processing, and video codec architecture. He is a recipient of the IEEE Third Millennium Medal and is a Fellow of IEEE and IET and a member of Sigma Xi.