Brain-inspired Relational Semantic Reasoning for Video Captioning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AYVLWN9VR" target="_blank" >RIV/00216208:11320/23:YVLWN9VR - isvavai.cz</a>

Result on the web

<a href="https://www.researchgate.net/publication/373729851_Brain-inspired_Relational_Semantic_Reasoning_for_Video_Captioning" target="_blank" >https://www.researchgate.net/publication/373729851_Brain-inspired_Relational_Semantic_Reasoning_for_Video_Captioning</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21203/rs.3.rs-3317367/v1" target="_blank" >10.21203/rs.3.rs-3317367/v1</a>

Result language

angličtina

Original language name

Brain-inspired Relational Semantic Reasoning for Video Captioning

Original language description

"Traditional video captioning methods mainly rely on the detection of objects in the video, ignoring the discussion of the mutual semantic relations between objects, resulting in a decrease in description accuracy under the influence of occlusion and tiny-size objects. In this paper, we discuss the hippocampal circuit and memory mechanism of the human brain, and a brain-inspired model based on the long-term short-term memory branch of the hippocampus is proposed."

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů