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US7627477B2 - Robust and invariant audio pattern …
https://patents.google.com/patent/US7627477B2/en
The present invention enables fast, robust, invariant, and scalable indexing and searching over a large database of audio files and is particularly useful for audio pattern recognition applications. In some embodiments, the techniques disclosed herein improve and enhance the audio recognition system and methods disclosed in the above-referenced ...
Robust and invariant audio pattern matching - Landmark ...
https://www.freepatentsonline.com/7627477.html
Robust and invariant audio pattern matching . United States Patent 7627477 . Abstract: The present invention provides an innovative technique for rapidly and accurately determining whether two audio samples match, as well as being immune to various kinds of transformations, such as playback speed variation. The relationship between the two ...
US8090579B2 - Automatic identification of repeated ...
https://patents.google.com/patent/US8090579B2/en
Robust and invariant audio pattern matching US20030231868A1 (en) 2002-05-31: 2003-12-18: Microsoft Corporation: System and method for identifying and segmenting repeating media objects embedded in a stream US6748360B2 (en) 2000-11-03: 2004-06-08: International Business Machines Corporation
Robust Scale-Invariant Feature Matching for Remote …
https://ieeexplore.ieee.org/document/4770193
When the scale-invariant feature transform (SIFT) is adopted in the registration of remote sensing images, a lot of incorrect matches of keypoints will appear owing to the significant difference in the image intensity between remote sensing images compared to visible images. Scale-orientation joint restriction criteria are proposed to achieve robust feature …
Pattern Matching Based on a Generalized Transform [First ...
https://users.ece.utexas.edu/~bevans/courses/ee381k/projects/fall00/rajagopal/litSurveyReport.pdf
statistical sampling provides the basis for a robust scaling invariant pattern matching algorithm. 2. Classic Correlation Based Pattern Matching Traditional pattern matching techniques include normalized cross correlation [BB82] and pyramidal matching [CC98]. Normalized cross correlation is the most common way to find a template in an image.
FRoTeMa: Fast and Robust Template Matching
https://thesai.org/Downloads/Volume6No10/Paper_28-FRoTeMa_Fast_and_Robust_Template_Matching.pdf
solve RSBC invariant grayscale template matching problem. Our algorithm, named FRoTeMa (Fast and Robust Template Matching), is also rotation/scale-discriminating within a predefined level of accuracy, i.e., the method determines the scale and rotation angle of the template within the matching process.
SCALE INVARIANT TEMPLATE MATCHING
https://acadpubl.eu/jsi/2018-118-5/articles/5/37.pdf
new fast and robust template matching with randomness, ISSN : 1948 -9447,July 2017 2. T. Dekel, S. Oron, M. Rubinstein, S. Avidan, and W. T. Freeman. B est-buddies similarity for robust template matching. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 2021 ±2029, 2015. 3. M. -S.
(PDF) Robust image matching algorithm
https://www.researchgate.net/publication/4027585_Robust_image_matching_algorithm
robust feature matching”, Pattern Recognition 32 pp 17-38, 1999. [8] Oh-Kyu Kwon, ... To make the matching invariant to rotation, we further use the ring-projection transform, which is invariant ...
Synchronizing multimodal recordings using audio-to …
https://link.springer.com/article/10.1007/s12193-015-0196-1
Wang ALC, Culbert D (2002) Robust and invariant audio pattern matching. US Patent US7627477. 17. Wittenburg P, Brugman H, Russel A, Klassmann A, Sloetjes H (2006) ELAN: a professional framework for multimodality research. In: Proceedings of language resources and evaluation conference (LREC) Download references
template matching invariant to rotations and noise ...
https://answers.opencv.org/question/219149/template-matching-invariant-to-rotations-and-noise/
1 answer. There is no algorithm that is truly invariant to rotation of template, and to noise some algorithms may be more robust (i would advice zero normalised cross correlation with can be efficiently implemented using fft). And multiple minima can be avoided by cropping image before and find minima in croped sections, it will be helpfull if ...
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