Video fingerprint system and method thereof
A system used for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties. The system may generate first representations of the video data based on a plurality of the rows; generate second representations of the video data based on a plurality of the columns; generate frame representations corresponding to the frames and based on the first and second representations; and combine the frame representations to form the transformed representation of the video data. The system may also generate frame representations respectively corresponding to the frames; combine the frame representations to form a transformed representation of the video data; analyze the transformed representation; and identify frames of interest based on the analysis.
1. A method for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties, comprising:
generating first representations of the video data based on a plurality of the rows;
wherein generating the first representations includes determining first pluralities of statistical values based on pixel property values of pixels in the rows;
generating second representations of the video data based on a plurality of the columns;
wherein generating the second representations includes determining second pluralities of statistical values based on pixel property values of pixels in the columns;
generating frame representations corresponding to the frames and based on the first and second representations; and
combining the frame representations to form the transformed representation of the video data.
2. The method of claim 1 , further comprising:
selecting a subset of the rows;
selecting a subset of the columns; and
generating the first and second representations based on the row subsets and column subsets, respectively.
3. The method of claim 1 , wherein generating the frame representations further comprises combining the first and second pluralities of statistical values.
4. The method of claim 1 , wherein generating the frame representations further comprises:
converting the first and second pluralities of statistical values into video data representing pixels; and
structuring pixel video data into columns of pixels respectively corresponding to the frames.
5. A method of analyzing a quantity of video data structured as a plurality of frames, comprising:
generating frame representations respectively corresponding to the frames;
combining the frame representations to form a transformed representation of the video data;
analyzing the transformed representation; and
identifying frames of interest based on the analysis;
wherein the identified frames of interest include frames with at least one of an activity, a moving event, or a change in a quantity of video data.
6. The method of claim 5 , wherein:
the frame representations are structured as video data representing columns of pixels; and
the transformed representation comprises an image.
7. The method of claim 6 , wherein analyzing the transformed representation comprises analyzing statistical values of one or more pixel properties of the image.
8. The method of claim 5 , wherein the transformed representation comprises a graph.
9. The method of claim 8 , wherein analyzing the transformed representation comprises identifying at least one of local maxima of a graph or local minima of the graph.
10. A system for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties, comprising:
a memory storing instructions; and
a processor configured to execute the instructions to:
generate first representations of the video data based on a plurality of the rows;
wherein generating the first representations includes determining first pluralities of statistical values based on pixel property values of pixels in the rows;
generate second representations of the video data based on a plurality of the columns;
wherein generating the second representations includes determining second pluralities of statistical values based on pixel property values of pixels in the columns;
generate frame representations corresponding to the frame and based on the first and second representations; and
combine the frame representations to form the transformed representation of the video data.
11. The system of claim 10 , wherein generating the frame representations further comprises:
converting the first and second pluralities of statistical values into video data representing pixels; and
structuring pixel video data into columns of pixels respectively corresponding to the frames.
12. A system of analyzing a quantity of video data structured as a plurality of frames, comprising:
a memory storing instructions; and
a processor configured to execute the instructions to:
generate frame representations respectively corresponding to the frames;
combine the frame representations to form a transformed representation of the video data;
analyze the transformed representation;
identify frames of interest based on the analysis;
wherein the identified frames of interest include frames with at least one of an activity, a moving event, or a change in a quantity of video data.
13. The system of claim 12 , wherein:
the frame representations are structured as video data representing columns of pixels; and
the transformed representation comprises an image.
14. A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform a method for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties, the method comprising:
generating first representations of the video data based on a plurality of the rows;
wherein generating the first representations includes determining first pluralities of statistical values based on pixel property values of pixels in the rows;
generating second representations of the video data based on a plurality of the columns;
wherein generating the second representations includes determining second pluralities of statistical values based on pixel property values of pixels in the columns;
generating frame representations corresponding to the frames and based on the first and second representations; and
combining the frame representations to form the transformed representation of the video data.
15. The non-transitory computer-readable storage medium of claim 14 ,
wherein generating the frame representations further comprises:
converting the first and second pluralities of statistical values into video data representing pixels; and
structuring pixel video data into columns of pixels respectively corresponding to the frames.
16. A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform a method for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties, the method comprising:
generating frame representations respectively corresponding to the frames;
combining the frame representations to form a transformed representation of the video data;
analyzing the transformed representation; and
identifying frames of interest based on the analysis;
wherein the identified frames of interest include frames with at least one of an activity, a moving event, or a change in a quantity of video data.
17. The non-transitory computer-readable storage medium of claim 16 , wherein:
the frame representations are structured as video data representing columns of pixels; and
the transformed representation comprises an image.