Multimedia content is growing exponentially in organizations and users do not have the tools to access relevant content at all times; this turns our multimedia repository from a valuable corporate asset into a useless burden.

To date, traditional multimedia classification solutions involved a tedious manual content tagging process that, in practice, ended up being performed only sporadically and irregularly. Today, cloud computing gives us access to the most innovative artificial intelligence technologies that, at very competitive costs, allow us to perform the content tagging process completely unattended and paying only for the volume of images (or minutes of video) classified.

Image auto tagging solution

Apser has developed Magnifier, a cloud solution that provides a secure environment in which authorized users can upload images and videos to the cloud to undergo an automatic tag extraction process (thanks to Amazon Rekognition). In addition, the tool is able to identify and reuse pre-existing EXIF tags on items (such as date of capture, geographic coordinates, camera model, etc.).

Once this classification is done, the auto tagging solution proceeds to store the multimedia contents with their tags to allow immediate consultation or downloading through a simple and user-friendly interface that allows the accumulation of search filters by free terms. Finally, users can enrich the description of each media file by manually adding additional metadata (tags), either in bulk or individually.

In this way, it creates a centralized repository of corporate multimedia content, immediately scalable and with The default backup in different geographical areas helps us to prevent each user from creating personal collections on their work computer and, at the same time, allows the elimination for all users of inappropriate or irrelevant images, thus avoiding communication errors.

A well-known NGO had been accumulating a voluminous collection of digital images that they used in their communication and promotion campaigns (social networks, management reports, mailing lists, brochures…). The workers who made use of these images were dispersed in different locations and, for different reasons, alternative image collections had been generated in their respective work computers. The graphic content of these images was very heterogeneous (landscapes, people, vehicles, activities, tools, etc.).

At start-up, all images were unified in a single cloud repository and automatically tagged. With these results, the perceptive database was created. Authorized users (query/modify) were then generated and NGO workers were invited to make use of this solution to upload new images, automatically tag them and manually enrich these tags. Immediately and without the need for additional training, the apser solution became the corporate tool for storing and consulting digital images.