Improve Video Access with Faceted Search

As an enterprise video library gets loaded with content, it becomes increasingly difficult for employees and managers to search and find relevant content for their current needs. The most convenient method of achieving this level of organization and ease is by adding a search function to the library. As desirable as the searchability is, it is equally beneficial to a growing enterprise where the archives are bulking up, as the painful process of manual search becomes obsolete.  

Among the many benefits of an Enterprise Video Platform, including end-to-end video and digital media management, is the crucial ability of in-video search and accessibility to content across the organization efficiently and straightforwardly. By having control over the database with a fast and faceted search function, employees throughout an organisation can find specific parts of a video by searching through voice, text, or even the face of the speaker. 

What makes an optimal faceted search function? 

While general search relies heavily on metadata, faceted search in enterprise video content management uses a wide range of video aspects to better index content.

A search function can achieve efficient and optimal results by employing faceted features such as automatic speech recognition (ASR), optical character recognition (OCR), and facial recognition. Consequently, this results in quick and easy extraction of insights from video using artificial intelligence. 

For an enterprise video platform to enable global search across the portal or within an account, thorough indexing of stored content’s metadata is crucial.

By indexing all forms of content attributes, such as, but not limited to titles, description, meta-descriptions, tags, category, the author and any indexed and searchable in-video content, the enterprise video platform can provide in-depth and extensive search capability.

Another vital function aiding search optimization is relevance-based search; where the searched Media or User with the highest weight appears first.

To obtain narrower search parameters, filters can also be custom-created and made “displayable, searchable, facetable” for more meaningful media categorisation to enable enhanced search capabilities.  

Faceted Search Functions In An Enterprise Video Platform

Here are some of the faceted search function in an enterprise video platform:

Search using metadata

An enterprise video platform with faceted search functionalities allow an in-depth search of all videos in the platform using content attributes such as video title, description, tags, hashtags, author or even by custom attributes such as publishing date, video type, live event date, department, company, location or any other required identifiers.

A basic form of search, however, coupled with a faceted search, makes searching a whole lot easier. 

Search by category

Categorization, as essential as it may be to an organization’s content storage, also proves to be collective bundling and storage in playlists within the portal, which further improves search effectiveness.

A simple search would reveal results for all videos categorised under a, which further improves search effectiveness. A simple search would reveal results for all videos categorised under a particular topic, either individually or within an organised playlist.  

Search in-video text with OCR

By using optical character recognition (OCR) technology, an Enterprise video management system detects and indexes text that appears in a video and converts it to a text file, making it easy to search for a specific date, location or any other information appearing as on-screen text in any video across the database. 

Search using speech recognition

If an enterprise video platform offers automatic speech recognition (ASR) software to provide machine transcription, it helps index every spoken word in the video, thereby allowing users to search for any keywords or phrases spoken in a video.

This way, users can quickly skip to any precise portion of the video where the searched keyword is used. 

Search in closed captions (CC)

 By indexing the text in closed captions, an enterprise video platform can search within a video by words or on-screen subtitles.

If the enterprise video content management functionality engulfs automatic speech recognition (ASR) software, it will allow the user to search in a video using those closed captions.

While it also generates closed captions or video subtitles that display the text version of spoken words on the video screen, searching in CC also adds clarity to video and audio files.  

Search using facial analysis

The latest in faceted search, facial analysis is offered by a fewer number of enterprise video streaming contrast to other search abilities. An Enterprise video platform utilizes intelligent facial detection software for recognizing people within videos.

Different sections of the video are marked based on the person speaking at various intervals, to skip to a speaker’s portion within a video by simply clicking on their face in the timeline. When a face has been recognized, a timestamp is generated directing users to the specific time the face appears in and across videos.

Hence, a face in a video can be easily searched, which subsequently refines the search from thereon while massively reducing the time taken to look for a person in an immense video content storage. 

While a search provides management of large databases, searching through them for a specific need is where most organizations feel the burden.

As the amount of information increases every passing day, smart ways to store and manage are crucial. Faceted search is the critical functionality in an enterprise video platform to ease the difficulty of voyaging through the clutter.  

Enhancing Video Management with Faceted Search in Enterprise Platforms

A growing enterprise video platform demands smarter, faster ways to locate content, and faceted search is the solution. By enabling users to find videos using voice, metadata, facial recognition, and on-screen text, faceted search transforms a bulky content library into an accessible, searchable video knowledge base.

With tools like automatic speech recognition, OCR, and facial detection, a modern enterprise video platform with faceted search capabilities allows for in-depth search across categories, playlists, captions, and more. This level of search efficiency is critical for large organizations aiming to streamline internal communication, training, and video-based knowledge sharing.

Want to see it in action? Start your free trial or contact us today to learn how VIDIZMO’s enterprise video platform with faceted search can revolutionize your content discovery.

People Also Ask

What is faceted search in an Enterprise Video Platform (EVP)?

Faceted search in an EVP refers to the ability to filter and narrow down video search results using multiple parameters such as metadata, speaker identity, speech content, on-screen text, and categories. It makes finding specific content fast and accurate within large video libraries.

How does faceted search improve enterprise video content discoverability?

Faceted search enables users to quickly find relevant video content by indexing and filtering through a variety of attributes—such as tags, transcripts, captions, facial data, and OCR text—dramatically reducing time spent on content discovery.

Can faceted search find specific spoken words within videos?

Yes. Enterprise video platforms with automatic speech recognition (ASR) index every spoken word in a video. This allows users to search for keywords and jump directly to the exact moment they’re mentioned in the video timeline.

Is facial recognition supported in enterprise video search?

Advanced EVPs like VIDIZMO support facial recognition. They detect and timestamp faces appearing in videos, enabling users to search for specific individuals across the video library and instantly navigate to where they appear.

How is OCR used in enterprise video search?

Optical Character Recognition (OCR) detects and indexes any text that appears within video frames (e.g., signs, slides, or screens). This makes it searchable, allowing users to locate content by searching on-screen text.

Why is metadata search important in enterprise video platforms?

Metadata such as title, description, tags, author, and department enhances searchability. It allows users to retrieve videos even if they don’t know the exact content details, making navigation through vast libraries much easier.

Can closed captions be used for video search?

Yes. Closed captions indexed via ASR can be searched just like regular transcripts. This allows users to find relevant content based on subtitle text and provides an accessibility boost for hearing-impaired users.

What’s the difference between basic and faceted video search?

Basic search typically relies on limited metadata. Faceted search, however, leverages AI-powered indexing of speech, faces, text, and more, offering a multidimensional, granular way to search and filter enterprise video content.