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Author : Dhanya Bibin
In today’s fast-paced digital world, consuming vast amounts of video content can be time-consuming and overwhelming. Whether you’re a content creator, a student, or a professional seeking key insight, the sheer volume of information contained in lengthy videos can pose a challenge.
Enter GenAI, the next-generation artificial intelligence revolutionizing the way we interact with video content.
GenAI, short for generative artificial intelligence, refers to a class of artificial intelligence systems that has the ability to generate new content, whether it’s image, text, audio, or other forms of data. These systems are designed to understand patterns and structures within the input data and use that understanding to produce new similar content.
GenAI represents a groundbreaking leap in the field of video summarization. GenAI is designed to distill extensive video content into concise, meaningful summaries by leveraging the power of advanced deep learning algorithms. This innovative technology has the potential to transform the way we engage with videos, making information extraction more efficient and accessible.
Using GenAI in video summarization involves leveraging models that can understand and generate meaningful content from video data. To incorporate Gen AI into video summarization, the first step is to define the objective of your summarization.
Are you looking for keyframes, important segments, or a textural summary? Also, you need to consider the context of your application (security surveillance, video content creation, etc.). Then, depending on the specific requirement, choose a generative AI model suitable for the context of the application.
The various steps of video summarization, as mentioned in the previous section, lay the foundation for a transformative impact on the OTT industry. Here, we’ll explore how this connects with the needs of both viewers and platforms.
For viewers
For Platforms
Like any new technology, GenAI-based video summarization also comes with its own challenges.
Bias: GenAI models are trained on large amounts of data, and that data can be biased. You need to be aware of potential biases and take steps to mitigate them.
Accuracy: Video Summarization is a complex task, and GenAI-based models can sometimes make mistakes. It’s important to evaluate the generated summaries carefully and ensure they accurately reflect the original video.
Transparency: Understanding how GenAI models generate summaries is crucial for building trust and ensuring responsible use of the technology.
Despite these challenges, the future of GenAI-based video summarization is bright. As these models are getting better and better, they have the potential to change the way we consume and interact with video content.
Imagine finding the perfect video instantly, understanding a whole lecture in minutes, or even watching videos in other languages with instant summaries! The possibilities are amazing.
At Logituit, we are working towards immense possibilities. We built Logix Enrich ahead of its time with the powerful implementation of GenAI. It has already set standard across the OTT platforms through its advanced capabilities such as object detection, highlight generation, scene analysis, intelligent ad placement, emotion analysis and so on.
To learn more, write to us at [email protected]
Dhanya Bibin
Dhanya specializes in developing innovative solutions utilizing generative AI and deep learning. Her focus lies in the dynamic domain of video streaming and OTT, where she leverages cutting-edge technologies to enhance user experiences. With a keen interest in exploring the intersection of artificial intelligence and real-world applications, she’s dedicated to pushing the boundaries of what’s possible in this dynamic field.
Beyond her tech pursuits, she is an avid gardener, cultivating a cherished collection of rare orchid plants. Her passion for orchids seamlessly intertwines with her curiosity about AI’s real-world applications.
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