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SYSTEM AND METHOD FOR THE FUSION OF BOTTOM-UP WHOLE-IMAGE FEATURES AND TOP-DOWN ENTTIY CLASSIFICATION FOR ACCURATE IMAGE/VIDEO SCENE CLASSIFICATION
SYSTEM AND METHOD FOR THE FUSION OF BOTTOM-UP WHOLE-IMAGE FEATURES AND TOP-DOWN ENTTIY CLASSIFICATION FOR ACCURATE IMAGE/VIDEO SCENE CLASSIFICATION
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机译：用于精确图像/视频场景分类的自下而上全图像特征融合和自上而下的实体分类的系统和方法
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摘要
Described is a system and method for accurate image and/or video scene classification. More specifically, described is a system that makes use of a specialized convolutional-neural network (hereafter CNN) based technique for the fusion of bottom-up whole-image features and top-down entity classification. When the two parallel and independent processing paths are fused, the system provides an accurate classification of the scene as depicted in the image or video.
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