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Similar to [19], they also use the correlation between the query action template and candidates in the target video.
The distances between the query action and all local windows in the target videos are computed based on the shape similarities of corresponding windows.
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Compute the distance between rank matrices of the query action and local windows from the target video.
It is important to note that a comparison between the rank matrices of the query action video and local windows is conducted after initial frames in (3).
Stage 2.Ordinal measure for the query action recognition (1) Generate the rank matrix based on resized AMI. (2) Compute the distance between rank matrices of the query action and local windows from the target video. .
Stage 2.Ordinal measure for the query action recognition (1) Generate the rank matrix based on resized AMI. (2) Compute the distance between rank matrices of the query action and local windows from the target video.
In Figure 9(c), the query action "vjp" is detected.
Input: :MEH of the query action with size - by-.
In particular, the performance for the query action recognition among multiple actions is evaluated.
Note that the CR is evaluated only at the level where the query action is perfectly recognized in the videos including the actual query action.
Then the rank matrix of the query action video should be matched against the rank matrices of all local windows to detect candidates close to the query action.
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