The Deep Learning-Based Semantic Cross-Modal Moving-Object Moment Retrieval System
2024 10th International Conference on Applied System Innovation (ICASI)（2024）
Department of Electronic Engineering
Abstract
This paper presents a high-efficiency deep learning-based semantic cross-modal moving-object moment retrieval system that is applied to surveillance video system for greatly reducing both human resource cost and time-consuming. The originality of our work is to improve the fusion processing of different modal features to reduce the semantic gap problem and design a moment location module to avoid various interferences and sampling restrictions to meet the specific conditions for achieving more efficient retrieval than other methods.
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Key words
semantic cross-modal,moment retrieval,deep-learning
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