Please use this identifier to cite or link to this item:
Title: Online weighted hashing for cross-modal retrieval
Authors: Jiang, Zining
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Jiang, Z. (2022). Online weighted hashing for cross-modal retrieval. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: 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.
Fulltext Permission: embargo_restricted_20230516
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Until 2023-05-16
2.51 MBAdobe PDFUnder embargo until May 16, 2023

Page view(s)

Updated on Dec 9, 2022

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.