Most of us can’t even imagine a life without digital media. As soon as we wake up, we are bombarded with data and information through our phones, laptops and tablets. From the image we see while scrolling through Instagram, to the countless hours spent watching video on YouTube– it is easy to say that we are heavily dependent on data.
Due to its ability to tell stories through visual sequences, videos are one of the most engaging forms of data. Consumers use online content and video streaming services for educational and recreational purposes. Content marketers are using vlogs, other multimedia to engage their audiences. Governments and private sectors are employing surveillance systems to record video footage of its premises for ensuring safety and security. According to Cisco’s Visual Networking Index, video traffic will quadruple by 2022. At that point, video will account for 82% of all IP traffic, up from 75% today.
With this increasing popularity of multimedia content, the volume of multimedia content generated is growing at unprecedented levels. And this has raised bigger challenges for businesses that generate/manage multimedia content to pinpoint the right multimedia content from a massive multimedia database.
For example, consider the case of a stock video business. The company will have its own database of videos and other multimedia. Suppose if the company wants to curate a list of videos that contain red coloured cars in it. For doing that, the company would need to employ several human resources to manually go through hours of video and tag videos that contain red cars in it. The bigger the size of the database, more number of people are required to do the task. This method is highly monotonous and not at all scalable in this era of data explosion. What if there is a better, more efficient, accurate and faster way to do this?
Can we automate the process of pinpointing the right multimedia content from a database of multimedia contents? Artificial intelligence can turn this possibility into a reality. Our awesome AI team has developed a tool, named as Searchyf to automate this process. Searchyf allows users to interact with multimedia content in real-time by transforming it into a searchable database. By using this tool, you will be able to pinpoint multimedia content that matches specific conditions, enabling you to search your archives for the right video instantly. Here is a demo of how it works;
Searchyf is built using proprietary entity recognition deep learning algorithms developed by Accubits Technologies. Using Ensemble learning, multiple deep learning models are strategically generated and combined to index over 200 properties from multimedia content, to generate data points to support any user queries related to the content. This tool can be used in various aspects of multimedia management and search.
Object/Entity identification: Automate the process of identifying certain objects or entities in the media. For example, automatically identify the instances in a video where an accident is visible.
Scene identification/classification: Automate identification of scenes. For example, identify the instances in a video where a vehicle has entered the premises.
Facial recognition: Automate the identification of people in media content. For example, identifying the presence of a suspect from CCTV video footage.
Facetime detection: Calculate the face-time of people appearing in videos.
Person or object counting: Calculate the number of occurrences of persons or objects appearing in a video.
Searchyf supports a wide range of media formats and languages. Some of its major functionalities include-
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Any business that generates/manages multimedia content can benefit a lot out of Searchyf. For example, media agencies, film industries, streaming platforms etc, can benefit from the tool by using it for their analytics purposes like face-time calculation, content filtering, content auto tagging etc. CCTV vendors can increase their product’s market value with Searchyf as it can provide advanced analytic features for analyzing the videos without having to invest in other resources. Law enforcement agencies make use of video surveillance and monitoring for ensuring safety and security of people. They use videos for investigation processes as well. Searchyf can help them in easily pinpoint to videos that match specific conditions like occurrence of fights, accidents etc.
Would you like to learn more about Searchyf?
Reach out to us today to schedule a demo.