Patents by Inventor Melike Bagcilar

Melike Bagcilar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and an apparatus for generating an approximate nearest neighbor field (ANNF) for images and video sequences
    Patent number: 9781357
    Abstract: An algorithm for performing super-resolution splits an input image or video into patches and relies on image self-similarity, wherein similar patches are searched in different downscaled versions of an image, using Approximate Nearest-Neighbor Fields (ANNF). The goal of ANNF is to locate with a minimal number of search iterations for each patch of a source image the k most similar patches in a downscaled version of the source image or video. A method for generating an ANNF for images of an input video comprises generating a plurality of downscaled versions of the images of the input video at different scales, generating an Inverse ANNF (IANNF) for the input video by finding for each patch of the downscaled images similar patches in the input video, generating an ANNF for the input video by reversing the IANNF, and filling gaps in the ANNF by random search.
    Type: Grant
    Filed: March 25, 2015
    Date of Patent: October 3, 2017
    Assignee: THOMSON LICENSING
    Inventors: Jordi Salvador Marcos, Melike Bagcilar, Axel Kochale
  • METHOD AND AN APPARATUS FOR GENERATING AN APPROXIMATE NEAREST NEIGHBOR FIELD (ANNF) FOR IMAGES AND VIDEO SEQUENCES
    Publication number: 20150281597
    Abstract: An algorithm for performing super-resolution splits an input image or video into patches and relies on image self-similarity, wherein similar patches are searched in different downscaled versions of an image, using Approximate Nearest-Neighbor Fields (ANNF). The goal of ANNF is to locate with a minimal number of search iterations for each patch of a source image the k most similar patches in a downscaled version of the source image or video. A method for generating an ANNF for images of an input video comprises generating a plurality of downscaled versions of the images of the input video at different scales, generating an Inverse ANNF (IANNF) for the input video by finding for each patch of the downscaled images similar patches in the input video, generating an ANNF for the input video by reversing the IANNF, and filling gaps in the ANNF by random search.
    Type: Application
    Filed: March 25, 2015
    Publication date: October 1, 2015
    Inventors: Jordi SALVADOR MARCOS, Melike Bagcilar, Axel Kochale