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AssigneeZeitera, LLC
InventorsJose Pio Pereira, Mihailo M. Stojancic, Shashank Merchant
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A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.
A method of organization of a multi-dimensional video database using a robust hash of a multi-dimensional vector signature as a traversal index, the method comprising:
The method of claim of 1 wherein a signature is generated based on a set of local features around a region of interest.
The method of claim of 15 wherein the signature is generated based on local features around the region of interest as well as global features around the region of interest, wherein the global features include texture and color of an image.
The method of claim of 1 and wherein a signature is generated based on local features around a region of interest, wherein the local features comprise shape features within the region of interest and the local features based on motion direction.
A method to post process signatures and associated data to evaluate a video sequence of interest and stored video sequences to increase accuracy and confidence of a video sequence match, the method comprising:
A method of generating a likelihood score for matching frames of a query video and an original video, the method comprising:
The method of 23 where the time correlation uses a relative time rate between the original video and the query video as determined by a first few matching signatures between the original video and the query video.
A method to convert documents or activity such as online user session information or any natural event or activity into multi-dimensional vectors, the method comprising:
The method of 26 wherein identification of a video or object is used along with other user and online website parameters to predict a user state or a user activity interest.
Dependencies are inferred from the claim text.