+ Interactive Real-Time Semantic Querying of Driving Scenes
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+ What if you could search inside a video as it plays? This project transforms a driving scene into an interactive interface where users can type natural language queries such as "car", "truck", or "pedestrian" and instantly see matching objects highlighted and tracked in real time.
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+ The demo emphasizes fluid interaction: queries can be added or removed on the fly without interrupting the video, multiple concepts can be explored simultaneously, and each query is visualized with distinct colors for clarity. This allows users to dynamically “interrogate” the scene and observe how the system adapts immediately to new inputs.
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+ Rather than focusing purely on detection, the project showcases a new way of interacting with visual data, turning passive video into an active, query-driven exploration tool.
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