Search engines today have made a science of indexing text. Modern spiders find and record every last written word — and return results so efficiently that some efficiency experts are recommending people give up their email filing systems and web browser favorites bars and simply rely on search to turn up what they need.
But for most organizations, that depth of search capability is reserved for text alone. Video in particular remains a black box — limited to manually-entered metadata like titles and tags.
Video search is a problem that needs to be solved.
According to a study by McKinsey and IDC, the average knowledge worker now spends nearly 20% of their time — nearly one whole day, every week — just searching for the information they need to do their job effectively. As businesses share more and more using video, that wasted time will only worsen without a video search solution in place.
That’s why today, more and more video platforms are expanding their video search capabilities. Yet as the field of solutions expands, it’s becoming more difficult for organizations to navigate. Why? Because not all video search engines are created equal.
Forrester Research recently commended Panopto as having “the best support for video search”. It’s easy to see why — no one goes deeper or broader than Panopto when it comes to video search, as shown on the following chart.
If a video is worth recording and storing, it’s worth finding. You want video search capabilities that can rise to that task. Modern video platforms are now finding creative ways to index the content inside videos, finding new ways to capture metadata, audio inputs, and visual content.
Fundamentally, if a video search tool is going to index your videos, it should be able to find and return all the words spoken and shown on-screen.
While there are a number of technical strategies to get at this information, they tend to fall into two groups — automated or manual.
Automated video indexing relies on one or more technologies to capture and discern what’s happening in your video. These tools can often be applied to a video the very instant recording is completed, expediting the process of indexing the content.
Common automated video indexing systems include automatic speech recognition (ASR), optical character recognition (OCR), and slide content ingestion. These three systems do very different things, so let’s look into each a little more closely.
Manual video indexing, on the other hand, relies on human intervention that takes place after a video is completed in order to help index video content.
The usefulness of manual indexing processes varies based on the amount of information they can add. Some processes are quite comprehensive, others, much more limited. Let’s take a look at the two most common manual inputs:
The choice really depends on your needs. Automatic indexing systems that rely on technology offer faster results and can often be applied to every video, but the accuracy isn’t 100% with ASR and OCR. Manual, human-based approaches such as transcription typically offer improved accuracy but take longer to produce and often come at an added cost.
Fortunately, you don’t have to choose with Panopto.
Panopto’s Smart Search video search technology is the industry’s most comprehensive inside-video search engine. With Panopto, you can search through your video library the same way you’d search across the internet, or through your email.
Ready to see what your video search has been missing? Contact our team today to try Panopto free.
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