Search
The platform provides a holistic understanding of your videos, moving beyond the limitations of relying solely on individual types of data like keywords, metadata, or transcriptions. By simultaneously integrating all available sources of information, including images, sounds, spoken words, and on-screen text, the platform captures the complex relationships among these elements for a more human-like interpretation. The platform is designed to detect finer details frequently overlooked by single-modal methods, achieving a deeper understanding of video scenes beyond basic object identification. Additionally, it supports natural language queries, making interactions as intuitive as your daily conversations.
Below are some key advantages of using the platform:
- Improved accuracy: Integrating data across multiple modalities results in more accurate search results.
- Natural interaction: Natural language querying provides a more intuitive search experience. Instead of relying on specific keywords or tags, you can express your search queries in plain language, mirroring everyday communication.
- Enhanced search capabilities for complex queries: Existing video retrieval systems often need more accuracy and reliability, mainly when the desired results are challenging to describe with text alone. The platform overcomes this limitation by allowing you to provide images as queries, facilitating more precise searches.
- Less contextual errors: Analyzing multiple aspects of a video reduces the likelihood of misinterpreting context, leading to more reliable search results.
- Time Efficiency: You don't need to watch entire videos or rely on possibly incomplete metadata to locate the content you're looking for. The platform can quickly search vast amounts of video data, returning only the relevant clips in response to your query.
To search for relevant video content, you can use either text or images as queries:
- Text queries: Use natural language to find video segments matching specific keywords or phrases.
- Image queries: Use images to find video segments that are semantically similar to the provided images.
Updated 8 days ago