Without Intelligent Video Search, Your Content Won’t Reach its Full Potential

With enterprise video growing at a steady 6.8% pace every year to reach $24 billion by 2026, how do you navigate these massive volumes? How can enterprises streamline the video search and retrieval process in a multi-terabyte content base? The answer lies in intelligent video search. Typically, video search technology looks at only structured data like the video title, description, meta-information, etc., to generate search results. Now, with sophisticated cognitive technology, it is possible to do so much more and actually unlock your content’s full 100% potential.

What is Intelligent Video Search?

Intelligent video search is defined as the process of crawling a video content repository to identify assets that match the user’s search query in a variety of ways, including title match, author match, uttered speech match, in-video text match, and meta-description match

It’s significantly more powerful than the usual way of looking up videos. While regular search considers only the structured text around video, intelligent search is truly video native. This means that it can detect and analyze the core video content to surface search results, just like you’d press CTRL+F to look up a word anywhere within a document, even in the footnotes or comments section. It uses artificial intelligence and cognitive technologies to achieve this, which is why it is termed intelligent video search.

Why Traditional Video Search is Falling Short

To understand the power of intelligent video search, it’s important to first inspect the shortcomings in traditional search: 

It makes the viewing experience extremely unintuitive

Let’s say the user is watching a video they want to recall later – e.g., a video containing learning content or an interesting product review. They must interrupt the viewing experience to bookmark the video, take screenshots, make notes, etc., to facilitate information retrieval later on. 

It holds back the impact and value of long-form content

For specific use cases, enterprises might want to invest in long-form content. Detailed case studies, explainer videos, compliance videos, and others are best delivered in a longer format. But without the ability to search through long-form content, it will start losing value after the first cycle of views, and you will need to create new videos with the same information to enable discoverability. 

It adds to the content clutter around your video asset

Because the core video isn’t searchable, you will have to insert all the relevant information in the surrounding text. This means longer descriptions, difficult-to-read titles, and other text elements that distract from the video. 

3 Key Components of Intelligent Video Search

Intelligent video search addresses the above issues using three key technologies: 

1. Spoken word analysis 

Spoken word analysis refers to the conversion of uttered speech into a textual format so that it can be analyzed and searched against a specific keyword. For example, the kPoint video management platform uses automatic speech recognition (ASR), which is a subset of cognitive technologies, to recognize each word spoken within a video

2. Computer recognition and computer visioning

Computer visioning allows a machine to understand what is being depicted in a picture or video. For instance, it helps a computer to identify a tree for a tree, even if the picture is labeled “picnic site.” This component is widely used across audiovisual systems today – Google Lens uses it to identify what you are taking a picture of. kPoint also uses object detection to understand the content of an image, and it further uses optical character recognition (OCR), which is an AI technique, to recognize text embedded in a video snapshot.

3. Slide content ingestion

When a video is created from a PowerPoint or equivalent presentation, you should be able to lookup text that was originally contained in its slides. kPoint uses slide content ingestion to make this possible, indexing text within slides or documents that are used in the final video.

Here’s How You Benefit

Intelligent video search benefits every stakeholder. 

Enterprise content managers can simplify search, retrieval, and video database management. This makes it possible to scale the content repository with ease. Your enterprise audience (corporate learners, new employees watching onboarding videos, supply chain partners, etc.) receive a more intuitive experience. They can also retrieve, recall, and therefore utilize the information contained in your videos more effectively.

End customers also gain from intelligent video search. With this capability available in your website videos, e-commerce site, or any other online presence, you can amplify the value generated from your video content. For example, in a product video users can find and directly skip to the troubleshooting portion. This makes them more likely to visit your website, engage with your content, and ultimately increase lifetime value. 

Try Out Intelligent Video Search in Action

Importantly, intelligent video search does not disturb the viewing experience. You can check out kPoint’s unintrusive and user-friendly video search feature in action by browsing through this video:

Type in your search query using the top-right widget. The progress and navigation bar on the bottom highlights exactly where that search term occurs.

kPoint Delivers Powerful Video Management with Intelligent Search and Discoverability

kPoint lets you go beyond searching for videos only by the title, description, or author’s name.

A keyword search on the kPoint video library reveals exactly at which point a word appeared onscreen, was spoken, or was embedded as a callout or annotation. This simple but foundational feature transforms the video management experience for enterprises and the viewing experience for your target audience.

Comment below with your thoughts, and contact us to know more. 

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