Efficient visual search in images and videos

Visual search has been a fundamental research topic in computer vision. Given a query, visual search aims to find the query’s relevant items from the database. Accuracy and efficiency are two key aspects for a retrieval system. This thesis focuses on the latter one, the search efficiency. To be s...

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Main Author: Tan, Yu
Other Authors: Ma Kai Kuang
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/83290
http://hdl.handle.net/10220/50091
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-832902020-11-01T04:59:35Z Efficient visual search in images and videos Tan, Yu Ma Kai Kuang Interdisciplinary Graduate School (IGS) Engineering::Computer science and engineering Visual search has been a fundamental research topic in computer vision. Given a query, visual search aims to find the query’s relevant items from the database. Accuracy and efficiency are two key aspects for a retrieval system. This thesis focuses on the latter one, the search efficiency. To be specific, we address two basic problems in efficient visual search: 1) deep compact feature learning and 2) fast object instance search in images and videos. Doctor of Philosophy 2019-10-07T01:50:08Z 2019-12-06T15:19:18Z 2019-10-07T01:50:08Z 2019-12-06T15:19:18Z 2019 Thesis Tan, Y. (2019). Efficient visual search in images and videos. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/83290 http://hdl.handle.net/10220/50091 10.32657/10356/83290 en 177 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Tan, Yu
Efficient visual search in images and videos
description Visual search has been a fundamental research topic in computer vision. Given a query, visual search aims to find the query’s relevant items from the database. Accuracy and efficiency are two key aspects for a retrieval system. This thesis focuses on the latter one, the search efficiency. To be specific, we address two basic problems in efficient visual search: 1) deep compact feature learning and 2) fast object instance search in images and videos.
author2 Ma Kai Kuang
author_facet Ma Kai Kuang
Tan, Yu
format Theses and Dissertations
author Tan, Yu
author_sort Tan, Yu
title Efficient visual search in images and videos
title_short Efficient visual search in images and videos
title_full Efficient visual search in images and videos
title_fullStr Efficient visual search in images and videos
title_full_unstemmed Efficient visual search in images and videos
title_sort efficient visual search in images and videos
publishDate 2019
url https://hdl.handle.net/10356/83290
http://hdl.handle.net/10220/50091
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