Learning to match anchor-target video pairs with dual attentional holographic networks

• Main Authors: HAO, Yan Bin, NGO, Chong-wah, ZHU, Bin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Task analysis; Neural networks; Correlation; Semantics; Generative adversarial networks; Feature extraction; Benchmark testing; Video hyperlinking; hierarchical content attention; holographic composition; triplet loss; Graphics and Human Computer Interfaces; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/6821
• Institution: Singapore Management University

Video hyperlinking is the task of linking two video fragments/clips based on their multi-modal contents. Specifically, given an anchor video as a query, machine techniques automatically generate links between the anchor and target videos by modeling and comparing their content aboutness. The term &q...