Kedar Basutkar
Hi, I’m Kedar! I am an equal parts artist, engineer and builder, currently working as a frontend engineer at Lucidity.
I’m an active hackathon participant and have created apps that solve challenges, from improving internet well-being to enhancing project planning and learning experiences.
As a speaker, I’ve delivered talks on topics like building high-performance web apps and exploring concepts like resumability.
In my free time, I enjoy visiting the theater and appreciating a good drama or comedy.
Lucidity
Job title –Frontend Engineer
Session
This session introduces a new approach to video search, enabling users to query video content using natural language, much like querying a database. It improves the search process by eliminating manual scrubbing and providing precise results quickly.
The session will cover:
-
Problem Overview: Challenges with traditional video search and the need for a smarter solution.
-
Live Demonstration: A real-time showcase of querying videos using natural language and retrieving relevant timestamps and clips.
-
Technical Insights:
- How vision models generate descriptive captions for video frames.
- The use of embeddings to represent both video content and user queries in a shared vector space.
- Storing and querying this data quickly using a vector database. -
Applications: Real-world use cases, including surveillance footage analysis, media curation, and content-aware video search platforms.
This talk is ideal for developers, AI practitioners, and tech enthusiasts interested in understanding the intersection of vision models, natural language processing, and media.