Video to data

1. A method to generate video data from a video comprising:

generating audio files and image files from the video;

distributing the audio files and the image files across a plurality of processors and processing the audio files and the image files in parallel;

converting audio files associated with the video to text;

identifying an object in the image files;

determining a contextual topic from the image files;

assigning a probability of accuracy to the identified object based on the contextual topic;

converting the image files associated with the video to video data, wherein the video data comprises the object, the probability, and the contextual topic;

cross-referencing the text and the video data with the video to determine contextual topics;

generating a contextual text, an image, or an animation based on the determined contextual topics;

generating a content-rich video based on the generated text, image, or animation.

2. The method according to claim 1 , further comprising:

applying natural language processing to the text to determine context associated with the video.

3. The method according to claim 1 , further comprising:

applying natural language processing to the text to extract a topic.

4. The method according to claim 1 , further comprising:

processing the image files to extract additional text.

5. The method according to claim 4 , wherein the additional text is generated by segmenting the image files before processing the image files in parallel.

6. The method according to claim 1 , further comprising:

processing the image files to extract an object and determine a motion associated with the object.

7. The method according to claim 1 , wherein the text is generated by segmenting the audio before processing the audio files in parallel.

8. The method according to claim 6 , wherein the audio files and the image files are segmented at spectrum thresholds.

9. The method according to claim 1 , further comprising:

generating an advertisement based on the text and the video data.

10. The method according to claim 9 , further comprising:

placing the advertisement in the video at a preferred time.

11. The method according to claim 1 , further comprising:

generating metadata.

12. The method according to claim 11 , wherein the metadata comprises a number of frames, a range of said frames and/or timestamp references.

13. A system for extracting data from a video, comprising:

a computer processor; and

a non-transitory computer readable medium containing instructions directing the system to execute the steps of:

converting audio associated with the video to text;

converting images associated with the video to video data, wherein the video data comprises identified objects;

extracting topics from the text and the video data;

assigning probabilities of accuracy for each of the identified objects, wherein the probabilities are based on the extracted topics;

cross-referencing the text, the video data, and the topics with the video to determine contextual topics;

generating a contextual text, an image, or an animation based on the determined contextual topics; and

generate a content-rich video based on the generated contextual text, image, or animation.

14. The system according to claim 11 , wherein converting the audio comprises natural language processing.

15. The system according to claim 11 , the computer directs the audio to be converted by at least one node of a cluster and the computer directs the images to be converted by at least one other node of the cluster in parallel.

16. The server according to claim 11 , wherein the audio and the images are segmented at spectrum thresholds.

17. The system according to claim 13 , wherein the computer directs the system to generate metadata.

18. The system according to claim 13 , wherein the metadata comprises a number of frames, a range of said frames and/or timestamp references.