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What is VGG Image Search Engine?

The VGG Image Search Engine (VISE) serves as an open-source tool that allows users to conduct visual searches across vast collections of images by using specific image regions as search queries. Developed and maintained by the Visual Geometry Group (VGG) at the University of Oxford's Department of Engineering Science, this software is released under a license that supports unrestricted use in both academic and commercial settings. To promote a vibrant open-source community surrounding VISE, we welcome contributions and encourage active involvement in its ongoing enhancement. Contributors can participate by reporting bugs, improving documentation, adding new features, or making refinements through merge requests. The Visual Geometry Group is dedicated to the ongoing development, upkeep, and support of VISE at least until November 2025, ensuring its relevance and utility. Additionally, users are invited to submit their inquiries or report any issues they face with the VISE software through our GitLab issues portal, facilitating a collaborative effort to strengthen the platform further and enhance user experience. This collective engagement not only enriches the project but also cultivates a sense of community among users and developers alike.

What is Imaginario?

Transform your video collection into an easily navigable resource by adding scene-level search functionalities powered by cutting-edge contextual AI. With minimal effort, you can adopt AI-enhanced features that foster efficient workflows without any programming needed. Our technology translates countless frames and audio elements into mathematical representations, making your videos instantly searchable while also allowing you to craft customized video workflows using simple visual tools. You have the flexibility to select from a variety of pre-designed interfaces and features that align with your specific requirements. The integration of Imaginario's APIs is designed to be seamless and accessible for developers at any experience level. In just two straightforward steps, you can upgrade your video library to support scene-level search capabilities. Moreover, our AI can be tailored to meet your unique needs, as it expertly identifies significant themes within your content and suggests powerful quotes that could spark innovative ideas. Users can quickly choose their desired segments, which drastically enhances the speed of content discovery. Our state-of-the-art video API efficiently arranges topics and visual scenes, eliminating the need for complex tagging systems or extensive AI/ML training, thus allowing you to organize your content with a level of efficiency comparable to that of a creative team. This pioneering method not only maximizes productivity but also significantly enhances the overall experience for users, making video exploration more engaging and dynamic. Ultimately, these advancements pave the way for a more intuitive interaction with video resources, encouraging creativity and efficient content utilization.