Video Search is the ability to search a video file for "looks like" pictorial content, rather than for tags or other text metadata, using math-intensive image processing algorithms. It may incorporate audio search, either for spoken keywords or for the voice of a particular speaker, as well as the ability to resolve text information within a video image, such as an auto license plate.
A video timeline also allows users to search for and find specific clips or sections in a video file. Machine learning and deep learning are playing an increased role as computers get better at matching existing images with ones they see. In fact, Google’s Machine Vision, which allows robots and computers to recognize images and scenery, uses deep learning algorithms to do this. Object recognition will be the first part of video search. Later, computers will be able to understand specific movements and behaviors.
Video search is still in its infancy, but some firms are making investments for the future. The need for video search is being driven by the explosion of video as a category of enterprise content, as video becomes a widespread document type. Video content management products can tag video files with metadata to make them searchable in a video portal for on-demand replay.
Aragon feels that new content needs are rising in the enterprise and creating demand for more robust content platforms. This places a growing need on platforms that can manage more diverse content and provide real-time analytics on what is happening in a content-based process.
Technology is changing faster than ever. Today, Digital Transformation requires understanding how to leverage strategic technology trends and—due to Cloud—putting them to work fast. Watch this on-demand webinar to see Aragon’s top technology trends for 2018 that you need to consider for a competitive advantage.