篇名 |
A Behaviorally Evidence-based Method for Computing Spatial Comparisons of Image Scenarios
|
---|---|
並列篇名 | A Behaviorally Evidence-based Method for Computing Spatial Comparisons of Image Scenarios |
作者 | Ziyang Weng、Shuhao Wang、Ziyu Zhang、Renyi Liu |
英文摘要 | Large amounts of noise and a lack of contextual domain knowledge lead to slow and inefficient cross-domain image learning. This paper proposes an image scenario spatial data classification model based on evidence-based behavioral logic, intervenes in image annotation through evidence-based dynamic knowledge graphs, and uses spatial similarity measurement to evaluate the effectiveness and robustness of the method. The results show that: 1) Organizing the dynamic knowledge graphs of contextual domain knowledge by behavioral logic can significantly improve the association efficiency of each model. 2) The calculation method of image scenario space comparison based on behavior evidence can decrypt the implicit knowledge of images and significantly improve the effectiveness of image scenario space interpretation. The research results are helpful to guide the design and implementation of cross-domain image interpretation systems and improve the efficiency of information sharing.
|
起訖頁 | 1113-1121 |
關鍵詞 | Behavioral logic、Image interpretation、Evidence-based computing、Image scenario、Narrative inference |
刊名 | 網際網路技術學刊 |
期數 | 202309 (24:5期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
|
QR Code | |
該期刊 上一篇
| A Maximum Semantic Reservation Mapping Method Based on Ontology-to-graph Database |
該期刊 下一篇
| Abnormal Detection Method of Transship Based on Marine Target Spatio-Temporal Data |