Online weighted hashing for cross-modal retrieval

Online weighted hashing for cross-modal retrieval

Online hashing algorithm that can process large-scaled multi-modal data in a streaming manner has a lot of attention recently. This work pursues further improvements using the weighted hamming distance, besides traditional label embedding learning and hash function learning. By learning different we...

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Main Author: Jiang, Zining
Other Authors: Lin Zhiping
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/158323
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-158323
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spelling sg-ntu-dr.10356-1583232023-07-07T19:18:41Z Online weighted hashing for cross-modal retrieval Jiang, Zining Lin Zhiping School of Electrical and Electronic Engineering EZPLin@ntu.edu.sg Engineering::Electrical and electronic engineering Online hashing algorithm that can process large-scaled multi-modal data in a streaming manner has a lot of attention recently. This work pursues further improvements using the weighted hamming distance, besides traditional label embedding learning and hash function learning. By learning different weights on each bit of binary hash codes, it can preserve more semantic information and therefore becomes more accurate for retrieving similar data. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-03T00:01:23Z 2022-06-03T00:01:23Z 2022 Final Year Project (FYP) Jiang, Z. (2022). Online weighted hashing for cross-modal retrieval. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158323 https://hdl.handle.net/10356/158323 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Jiang, Zining
Online weighted hashing for cross-modal retrieval
description Online hashing algorithm that can process large-scaled multi-modal data in a streaming manner has a lot of attention recently. This work pursues further improvements using the weighted hamming distance, besides traditional label embedding learning and hash function learning. By learning different weights on each bit of binary hash codes, it can preserve more semantic information and therefore becomes more accurate for retrieving similar data.
author2 Lin Zhiping
author_facet Lin Zhiping
Jiang, Zining
format Final Year Project
author Jiang, Zining
author_sort Jiang, Zining
title Online weighted hashing for cross-modal retrieval
title_short Online weighted hashing for cross-modal retrieval
title_full Online weighted hashing for cross-modal retrieval
title_fullStr Online weighted hashing for cross-modal retrieval
title_full_unstemmed Online weighted hashing for cross-modal retrieval
title_sort online weighted hashing for cross-modal retrieval
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158323
_version_ 1772825922707128320

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