Ranked latent indexing of multimedia documents

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention presents a method for indexing and retrieving multimedia documents (such as text, images, audio, or video) by representing each document as a vector in a latent feature space. The method improves upon previous techniques by considering the relationships between feature vectors and their multiple nearest clusters (not just the single closest one), then using dimensionality reduction (like SVD) to create efficient, powerful representations for similarity search. This enables more accurate and flexible searching and retrieval of similar multimedia files given a sample query.

Use CasesContent extracted from patent full text and abstract with AI.

• Content-based multimedia search engines, where a user can find images, audio, or video similar to a given example.
• Automatic organization of multimedia libraries for companies, museums, or personal collections.
• Recommendation systems that suggest similar videos, music, or images based on user's preferences or query samples.
• Plagiarism or copyright infringement detection by comparing new media files to existing databases for similarity.
• Surveillance and security systems that need to match suspicious audio or visual content with historical data.

BenefitsContent extracted from patent full text and abstract with AI.

• Improved accuracy for retrieving genuinely similar multimedia documents by considering multiple nearest clusters rather than just one.
• Scalability to large datasets due to efficient vector representations and dimensionality reduction.
• Applicability to any form of multimedia (text, image, audio, video) using appropriate feature extraction.
• Faster and more relevant search results for end-users, enhancing user satisfaction.
• Adaptability to various clustering and distance metrics, making the method flexible for different datasets or domains.

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Inventors & Applicants

Patent Abstract

The invention provides a ranked Latent Indexing method for indexing multimedia documents by representing the multimedia documents as vectors in a latent space. With the method of the invention, the similarity between multimedia documents may be determine using the distance between the corresponding vectors in the latent space.