MULTIMODAL SEMANTIC ANALYSIS AND ANNOTATION FOR BASKETBALL VIDEO

Multimodal Semantic Analysis and Annotation for Basketball Video

This paper presents a new multiple-modality method for extracting semantic information from basketball video.The visual, motion, and audio information are extracted from video to first generate some low-level video segmentation and classification.Domain knowledge is further exploited for detecting interesting events in the basketball video.For vide

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Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach

Water contamination by toxic metal ions has become a significant issue, requiring the development of effective ion detection methods.Traditional analytical techniques often involve toxic elements or complex devices.Carbon quantum dots (CQDs) have emerged as a promising alternative for optic ion detection due to their unique properties and compatibi

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