Method for image segmentation and system therefor
AssigneeSamsung Sds Co., Ltd.
InventorsHee Sung Yang, Jun Ho Kang, Do Hyung Im
Life of this patent
Estimating the term…
Abstract
Provided are a method for image segmentation and a system therefor. The method according to some embodiments may include acquiring a deep learning model trained through an image segmentation task, extracting motion information associated with a current frame of a given image, and performing image segmentation for the current frame by reflecting the extracted motion information into class-specific feature maps of the deep learning model, the class-specific feature maps being generated by the deep learning model based on the current frame.
Claims15
A method for image segmentation performed by at least one processor, the method comprising:
- acquiring a deep learning model trained through an image segmentation task;
- extracting motion information associated with a current frame of a given image;
- and
- performing image segmentation for the current frame by reflecting the extracted motion information into class-specific feature maps, the class-specific feature maps being generated by the deep learning model based on the current frame,
- wherein the performing the image segmentation comprises reflecting the extracted motion information into the class-specific feature maps based on a weight.
A system for image segmentation comprising:
- at least one processor;
- and
- a memory configured to store at least one instruction,
- wherein the at least one processor is configured to, by executing the at least one instruction stored in the memory, perform:
- acquiring a deep learning model trained through an image segmentation task;
- extracting motion information associated with a current frame of a given image;
- and
- performing image segmentation for the current frame by reflecting the extracted motion information into class-specific feature maps, the class-specific feature maps being generated by the deep learning model based on the current frame,
- wherein the performing the image segmentation comprises reflecting the extracted motion information into the class-specific feature maps based on a weight.
A non-transitory computer-readable recording medium storing computer program executable by at least one processor to perform:
- acquiring a deep learning model trained through an image segmentation task;
- extracting motion information associated with a current frame of a given image;
- and
- performing image segmentation for the current frame by reflecting the extracted motion information into class-specific feature maps, the class-specific feature maps being generated by the deep learning model based on the current frame,
- wherein the performing the image segmentation comprises reflecting the extracted motion information into the class-specific feature maps based on a weight.
Dependencies are inferred from the claim text.