Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an approach to long-range spatio-temporal regularization in semantic video segmentation. Temporal regularization in video is challenging because both the camera and the scene may be in motion. Thus Euclidean distance in the space-time volume is not a good proxy for correspondence.  optimize the mapping of pixels to a Euclidean feature space so as to minimize distances beten corresponding points. Structured prediction is performed by a dense CRF that operates on the optimized features. Experimental results demonstrate that the presented approach increases the accuracy and temporal consistency of semantic video segmentation.
['Abhijit Kundu', 'Vibhav Vineet', 'Vladlen Koltun']
I am writing a research paper on a idea Feature Space Optimization for Semantic Video Segmentation
[{"from": "human", "value": "I am writing a research paper on a idea Feature Space Optimization for Semantic Video Segmentation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an approach to long-range spatio-temporal regularization in semantic video segmentation. Temporal regularization in video is challenging because both the camera and the scene may be in motion. Thus Euclidean distance in the space-time volume is not a good proxy for correspondence.  optimize the mapping of pixels to a Euclidean feature space so as to minimize distances beten corresponding points. Structured prediction is performed by a dense CRF that operates on the optimized features. Experimental results demonstrate that the presented approach increases the accuracy and temporal consistency of semantic video segmentation."}]