SIVLI is a patenting-in-process computer system that is the result of a combination of state-of-the-art techniques that are part of the following areas:
The frames with the highest similarity degree are extracted and condensed in a set which is returned as output.
The notion of Video Location takes place by annexing to each selected frame, in the output set, its corresponding position in the video sequence and its Similarity Value.
The Similarity Value in each frame in the output set shared by SIVLI is a number taking values between 0 and 1. If the Similarity Value between a frame and the input image is:
SIVLI only returns as output those frames with the best Similarity Values.
From the User’s point of view, SIVLI only receives as input an image and the video sequence over which the search is going to be performed.
In consequence, SIVLI returns as output the corresponding set of frames with the best Similarity Values.
- Computational Intelligence.
- Computer Vision.
- Signal Processing.
- Computational Geometry.
The frames with the highest similarity degree are extracted and condensed in a set which is returned as output.
The notion of Video Location takes place by annexing to each selected frame, in the output set, its corresponding position in the video sequence and its Similarity Value.
The Similarity Value in each frame in the output set shared by SIVLI is a number taking values between 0 and 1. If the Similarity Value between a frame and the input image is:
- 0, then frame and input image must be characterized as identical.
- 1, then frame and input image must be characterized as completely different.
SIVLI only returns as output those frames with the best Similarity Values.
From the User’s point of view, SIVLI only receives as input an image and the video sequence over which the search is going to be performed.
In consequence, SIVLI returns as output the corresponding set of frames with the best Similarity Values.
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