  To address modeling problems of brain-inspired intelligence, this thesis is
focused on researching in the semantic-oriented framework design for multimedia
and multimodal information. The Multimedia Neural Cognitive Computing (MNCC)
model was designed based on the nervous mechanism and cognitive architecture.
Furthermore, the semantic-oriented hierarchical Cross-modal Neural Cognitive
Computing (CNCC) framework was proposed based on MNCC model, and formal
description and analysis for CNCC framework was given. It would effectively
improve the performance of semantic processing for multimedia and cross-modal
information, and has far-reaching significance for exploration and realization
brain-inspired computing.
