Number of input and output field
| Number of input field |
: |
Two |
| Number of output field |
: |
One |
This transformation function is used to calculate the similarity between an image and the frames of a video.
The output of this transformation function is a string in the following format:
<frame_no>,<similarity>;<frame_no>,<similarity>;...
This output can be split and transposed in the next assembly to obtain relevant and structured results.
This transformation function uses the following parameters:
- Key Point Descriptor
Specifies the descriptor used to compare the image with video frames.
- Lower Bound Similarity
Specifies the minimum similarity threshold.
Only similarity values greater than or equal to this threshold are passed to the next assembly.
Available key point descriptor methods:
- SIFT
(Scale Invariant Feature Transform) face-image descriptor.
- SURF
(Speeded-Up Robust Features) face-image descriptor.
- BRIEF
(Robust Independent Elementary Features) image descriptor
- ROOTSIFT
(Normalized Scale Invariant Feature Transform) face-image descriptor..