What is the real value to digital video in a Big Data query? Should video even be a consideration for an other source of data?
Most Big Data applications are out for one simple thing: Getting decision driving information from multiple, disparate, structured and unstructured data sources. If all we had to do is query our RDBMs to get to good decisions, then Big Data as a market would not exist. But it isn't and things like weblogs and twitter feeds - all examples for large sets of unstructured data, are extremely useful for data scientists to use to find decision driving data.
Well, what about video? Can digital video be useful for a query? Early indications are that it is and the more you think about it, the more you find good, solid use cases in the industry. IVS (intelligent video surveillance) is clearly an early adopter to use video. The more that intelligent, digital computer vision algorithms can be combined with queries of other databases to form a real-time, interactive query process, the more intelligible and actionable information we can glean from the query. Yes, there are computer vision algorithms that can search through a digital video file and detect anomalies. But despite the current speed, can we combine that search with a recognition database, like a facial recognition and give back intelligible information. What about height, speed, color, make and model or even an analysis of behavior?
What if an IVS system could automate a query that someone has entered a safe perimeter, that he is recognized as a known person on the terrorist watch list and is spending time cutting through a fence? What security level would this anomaly trip to get action at the highest level. Anyone who claims that any anomaly should trigger highest level does not understand the IVS market. After three or four false alarms, most companies turn off their detection and revert to good, old-fashioned human visual detection.
Big Data has this promise, but video is not an integral part of the query capabilities yet. There is nothing on the market today that allows companies to bring a digital video feed in and query it using SQL like any other data. But that could soon change (stay tuned).
Most Big Data applications are out for one simple thing: Getting decision driving information from multiple, disparate, structured and unstructured data sources. If all we had to do is query our RDBMs to get to good decisions, then Big Data as a market would not exist. But it isn't and things like weblogs and twitter feeds - all examples for large sets of unstructured data, are extremely useful for data scientists to use to find decision driving data.
Well, what about video? Can digital video be useful for a query? Early indications are that it is and the more you think about it, the more you find good, solid use cases in the industry. IVS (intelligent video surveillance) is clearly an early adopter to use video. The more that intelligent, digital computer vision algorithms can be combined with queries of other databases to form a real-time, interactive query process, the more intelligible and actionable information we can glean from the query. Yes, there are computer vision algorithms that can search through a digital video file and detect anomalies. But despite the current speed, can we combine that search with a recognition database, like a facial recognition and give back intelligible information. What about height, speed, color, make and model or even an analysis of behavior?
What if an IVS system could automate a query that someone has entered a safe perimeter, that he is recognized as a known person on the terrorist watch list and is spending time cutting through a fence? What security level would this anomaly trip to get action at the highest level. Anyone who claims that any anomaly should trigger highest level does not understand the IVS market. After three or four false alarms, most companies turn off their detection and revert to good, old-fashioned human visual detection.
Big Data has this promise, but video is not an integral part of the query capabilities yet. There is nothing on the market today that allows companies to bring a digital video feed in and query it using SQL like any other data. But that could soon change (stay tuned).
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