Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the structured Fisher vector encoding method, a new video representation which yields an improved model to classical FV for human action recognition. Our proposed representation is based on local structural organization of features by building graphs of trajectories. It preserve more information in feature encoding process by local spatial pooling and refining the representation in the global pooling. Local spatio-temporal information are exploited by presenting the relationships among video trajectories as local graphs of trajectories using a multi-scale Delaunay triangulation. Experiments using the human action recognition datasets (Hollywood2 and HMDB51) show the effectiveness of the proposed approach.
['Manel Sekma', 'Mahmoud Mejdoub', 'Chokri Ben Amar']
I am writing a research paper on a idea Structured Fisher vector encoding method for human action recognition
[{"from": "human", "value": "I am writing a research paper on a idea Structured Fisher vector encoding method for human action recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the structured Fisher vector encoding method, a new video representation which yields an improved model to classical FV for human action recognition. Our proposed representation is based on local structural organization of features by building graphs of trajectories. It preserve more information in feature encoding process by local spatial pooling and refining the representation in the global pooling. Local spatio-temporal information are exploited by presenting the relationships among video trajectories as local graphs of trajectories using a multi-scale Delaunay triangulation. Experiments using the human action recognition datasets (Hollywood2 and HMDB51) show the effectiveness of the proposed approach."}]