Automated video logging methods and systems
View Patent ↗Exemplary embodiments of systems and methods are provided for automatically creating time-based video metadata for a video source and a video playback mechanism. An automated logging process can be provided for receiving a digital video stream, analyzing one or more frames of the digital video stream, extracting a time from each of the one or more frames analyzed, and creating a clock index file associating a time with each of the one or more analyzed frames. The process can further provide for parsing one or more received data files, extracting time-based metadata from the one or more parsed data files, and determining a frame of the digital video stream that correlates to the extracted time based metadata.
1. A process for creating a clock index, the process comprising:
coupling a logging client to a network wherein the logging client receives video frames from the network and the network receives the video frames from a video server;
analyzing the picture information of a first one of the received video frames in the logging client to extract a time from the analyzed picture information;
receiving a time-based metadata at the logging client;
mapping, at the logging client, an assigned identifier value for a second one of the received video frames and the received time-based metadata to the extracted time to generate clock index data;
wherein the assigned identifier value is one of a frame number, a time code value, or both the frame number and the time code value; and
wherein the second one of the received video frames may be the same as the first one of the received video frames; and
storing the generated clock index data in a database as part of the clock index.
2. The process of claim 1 , further comprising searching content of the second one of the video frames to produce internal metadata.
3. The process of claim 2 , wherein searching the second one of the video frames for the internal metadata includes recognizing faces of individuals on the video frame.
4. The process of claim 2 , wherein searching the second one of the video frames for the internal metadata includes extracting text as the internal metadata.
5. The process of claim 2 , wherein searching the second one of the video frames for the internal metadata includes extracting graphics as the internal metadata.
6. The process of claim 2 , wherein searching the second one of the video frames for the internal metadata includes extracting audio data as the internal metadata.
7. The process of claim 1 , wherein the video frame is obtained from a live stream.
8. The process of claim 1 , wherein extracting the time from the first one of the video frames further comprises searching the video frame.
9. The process of claim 8 , wherein searching the first one of the video frames further comprises automatically detecting coordinates of a clock on each received video frame analyzed to extract the time from each received video frame using optical character recognition.
10. The process of claim 1 , wherein the logging client pulls the time-based metadata from a data server through a query.
11. The process of claim 1 , wherein the logging client pulls the time-based metadata from a data server through an application programming interface.