| Patent application number | Description | Published |
|---|
| 20080208828 | Detecting Irregularities - Method and apparatus for inferring irregularities in query data relative to referential data includes attempting to compose the query data, like a puzzle, from large chunks of the referential data, and inferring irregularities in the query data based on at least the size of the matching chunks. The larger the size of a matching chunk, the more likely it is that its corresponding region in the query data is valid and not irregular. Regions in the query data which cannot be composed from the referential data, or can only be composed using small fragmented pieces and not large chunks of the referential data, are considered irregular. The method and apparatus is applicable to all types of signals, including images, video data, medical data, one-dimensional signals and multi-dimensional signals, and can be used to identify, inter alia, suspicious behaviors, suspicious objects, irregular patterns and defects in goods. | 08-28-2008 |
| 20100104158 | METHOD AND APPARATUS FOR MATCHING LOCAL SELF-SIMILARITIES - A method includes matching at least portions of first, second signals using local self-similarity descriptors of the signals. The matching includes computing a local self-similarity descriptor for each one of at least a portion of points in the first signal, forming a query ensemble of the descriptors for the first signal and seeking an ensemble of descriptors of the second signal which matches the query ensemble of descriptors. This matching can be used for image categorization, object classification, object recognition, image segmentation, image alignment, video categorization, action recognition, action classification, video segmentation, video alignment, signal alignment, multi-sensor signal alignment, multi-sensor signal matching, optical character recognition, image and video synthesis, correspondence estimation, signal registration and change detection. It may also be used to synthesize a new signal with elements similar to those of a guiding signal synthesized from portions of the reference signal. Apparatus is also included. | 04-29-2010 |
| 20100177955 | BIDIRECTIONAL SIMILARITY OF SIGNALS - A method for measuring bi-directional similarity between a first signal of a first size and a second signal of a second size includes matching at least some patches of the first signal with patches of the second signal for data completeness, matching at least some patches of the second signal with patches of the first signal for data coherence, calculating the bi-directional similarity measure as a function of the matched patches for coherence and the matched patches for completeness and indicating the similarity between the first signal and the second signal. Another method generates a second signal from a first signal where the second signal is different than the first signal by at least one parameter. The method includes attempting to maximize a bi-directional similarity measure between the second signal and the first signal. | 07-15-2010 |
| 20100191722 | DATA SIMILARITY AND IMPORTANCE USING LOCAL AND GLOBAL EVIDENCE SCORES - A method includes finding regions of a reference signal which provide at least one of: local evidence scores and a global evidence score. The local evidence scores indicate local similarity of the regions of the reference signal to regions of a query signal and the global evidence score defines the extent of a global similarity of the query signal to the reference signal. A media exploring device is also included which includes an importance encoder and a media explorer. The importance encoder generates importance scores of at least portions of digital media as a function of at least one of local evidence scores and global evidence scores. The media explorer enables exploring through the digital media according to (i) the importance scores, (ii) data associations/links induced by the evidence scores between different portions of the digital media. The device may also include a media player to play the digital media with adaptive speeds as a function of the importance scores. The device may also include a labeling/annotation module which inherits labels/annotations/markings according to the abovementioned data associations. | 07-29-2010 |
| 20120086850 | SUPER RESOLUTION FROM A SINGLE SIGNAL - A method implementable on a computing device includes exploiting data redundancy to combine high frequency information from at least two different scales of an input signal to generate a super resolution version of said input signal. An alternative method includes exploiting recurrence of data from an input signal in at least two different scales of at least one reference signal to extract and to combine high frequency information from a plurality of scales of said at least one reference signal to generate a super resolution version of said input signal. An alternative method includes generating a super resolution version of a single input video sequence in at least the temporal dimension by exploiting data recurrence within the input video sequence or with respect to an external database of example video sequences. A signal may be an image, a video sequence, an audio signal, etc. | 04-12-2012 |
