Tips and Tricks to Implement Searchable and Discoverable Media Experiences
September 29, 2015
Employees who can create content, do create content. Our 2014 Enterprise Survey found that a typical employee with access to a media management system generates almost three hours of video each month. This amount of video content can quickly add up, becoming a large media library. While filled with invaluable information, if unmanaged, the library can become a content trap that makes it difficult for a user to find what they need from within. To avoid this problem, it’s critical the content is searchable and discoverable. Here are our five tips to make your content library more effective:
5 Tips to Make Content More Searchable
User-Supplied Metadata – Asking your media uploaders to supply metadata as a requirement of the uploading process is a great way to make sure that their content will have at least some searchability. Typically asking for a title, relevant content tags, and a category will provide the bare minimum of data needed to make sure the media isn’t lost forever. It’s important to keep in mind that the processes of updating metadata can be boring and we’ve found the more fields there are, the less likely a user is to actually fill them in. We suggest implementing rules requiring users to complete metadata sections deemed necessary by the library managers. A further improvement is to provide the uploader with drop-down lists for certain sections. These drop-down lists help keep parts of the library clean and consistent like the channel or category sections.
In-Video Extracted Metadata – Following the same principles of user-supplied metadata but elevating the depth of detail is what in-video extracted metadata accomplishes. A common example of this metadata are a video’s audio transcripts. Extracting the audio transcriptions allows for functionality like navigation from within the video (search for a particular phrase or keyword in a longer recording), and search by person (using software to detect who the presenter is). Other forms of in-video extracted metadata include text extraction (pulling the text written in the video frames like a PowerPoint slide to be stored for search), and application supplied timeline data (storing cue-points when a slide advances).
Machine Generated Metadata – An extension of in-video extracted metadata, machine-generated metadata uses the extracted metadata to create and store additional information about the video. At its most sophisticated level, machine-generated metadata can have topics automatically extracted and saved based on the content of the video. For example, if healthcare is talked about but not mentioned explicitly in any of the metadata, this tool will to pull it out and save it in such a way that the video will appear if healthcare is searched for. This is great for automatically tagging videos and filling in the blanks missed by the initial user supplied metadata. This type of metadata can also help in creating personal playlists for users based on learning what the user likes to watch and finding content that fits their viewing habits.
Understanding the Context – When you’re building a media library, it’s always crucial to ask yourself: where is the user coming from?
Understand the context of the application the user is coming from. Are they focused on learning and training, then make sure the content is available from within their LMS. It could be that they’re looking for general corporate messages in which case the video should be accessible from wherever their social business portal is. Understanding what the user is trying to do makes it possible to prioritize content based on what the user might be looking for, and to make sure that any related content displayed fits their potential needs.
Promoted Content – Discuss internally about what your objectives are for the content library. If you’re using your content library internally, perhaps the goal is to make sure everyone in the organization watches the most recent announcements from the CEO. With this in mind, have these videos displayed first on the homepage, or appear in the ‘up next’ video bar section. Another technique to promote the content is through context driven actions. This type of promoted content is most commonly recognized as displaying videos ranked by views or date.
How do you use the metadata right?
Metadata is often custom-designed and application specific. When designing the search system to use the library’s metadata it’s important to come at it from a user experience perspective. Use as many closed, user-supplied metadata fields as you can to keep the media consistent and allow for more automated items can be such as topic tracking. The holy grail is where editorial and automated flows are mixed. This creates a library that feels natural to use, yet is accurate and easy to navigate. We suggest that this is accomplished by dedicating a person or two to be responsible for tuning metadata, tracking semantics, and popularity and improving UX.
If you’re interested in seeing how to streamline the process of making your content accessible to whatever your objectives are, Kaltura REACH may be of interest. The suite supports captioning, transcription and translation services, in-video and cross-library search and discovery, deep-linking capabilities, as well as metadata and keyword extraction.
If you’d like to learn more, you can reach out to us through the information request form.
Kaltura's mission is to power any video experience. Our wide array of video solutions are deployed globally across thousands of enterprises, media companies, service providers, and educational institutions, leveraging video to teach, learn, communicate, collaborate, and entertain.