US Patent Application 18223957. SYSTEM AND METHOD FOR PROVIDING DOMINANT SCENE CLASSIFICATION BY SEMANTIC SEGMENTATION simplified abstract
SYSTEM AND METHOD FOR PROVIDING DOMINANT SCENE CLASSIFICATION BY SEMANTIC SEGMENTATION
Organization Name
Inventor(s)
Qingfeng Liu of San Diego CA (US)
Mostafa El-khamy of San Diego CA (US)
Rama Mythili Vadali of San Diego CA (US)
Tae-ui Kim of Hwaseong-si (KR)
Andrea Kang of San Diego CA (US)
Dongwoon Bai of San Diego CA (US)
Jungwon Lee of San Diego CA (US)
Maiyuran Wijay of San Diego CA (US)
SYSTEM AND METHOD FOR PROVIDING DOMINANT SCENE CLASSIFICATION BY SEMANTIC SEGMENTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18223957 titled 'SYSTEM AND METHOD FOR PROVIDING DOMINANT SCENE CLASSIFICATION BY SEMANTIC SEGMENTATION
Simplified Explanation
The patent application describes a method for determining the dominant class of a scene based on an input image and a segmentation map.
- Input image of a scene is received.
- A segmentation map is generated, which assigns labels to different classes within the input image.
- Area ratios are computed for each class in the segmentation map.
- The dominant class of the scene is determined based on the ranked labels derived from the computed area ratios.
Original Abstract Submitted
A method for computing a dominant class of a scene includes: receiving an input image of a scene; generating a segmentation map of the input image, the segmentation map being labeled with a plurality of corresponding classes of a plurality of classes; computing a plurality of area ratios based on the segmentation map, each of the area ratios corresponding to a different class of the plurality of classes of the segmentation map; and outputting a detected dominant class of the scene based on a plurality of ranked labels based on the area ratios.
