A Brain-inspired Hierarchical Interactive In-memory Computing System and its Application in Video Sentiment Analysis

Video sentiment analysis can effectively establish the relationship between the emotion state and the multimodal information, while still suffer from intensive computation and low efficiency, due to the von Neumann computing architecture. Here, we present a brain-inspired hierarchical interactive in...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 33; no. 12; p. 1
Main Authors:	Ji, Xiaoyue, Dong, Zhekang, Han, Yifeng, Lai, Chun Sing, Qi, Donglian
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Brain Brain-inspired Computational efficiency Computer memory Computing time Data mining Feature extraction hierarchical interactive In-memory computing in-memory computing (IMC) Interactive systems Memristors Modules Nanomaterials Robustness (mathematics) Semantics Sentiment analysis Synapses Transformers
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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