International Business Machines Corporation

Massachusetts Institute of Technology

Chung-Ching Lin

Sharathchandra UmapathiRao Pankanti

John Richard Smith

Aleksandr Y Aravkin

Karthikeyan Natesan Ramamurthy

Franco Stellari

Rogerio Schmidt Feris

Peilin Song

Nalini Kanta Ratha

Thomas M Shaw

Thomas Anthony Wassick

Quanfu Fan

Lisa Maire Brown

Lynne Marie Gignac

Noel C Codella

Mandis S Beigi

Rameswar Panda

Aude Jeanne Oliva

Yue Meng

Raphael Viguier

Honghui Shi

A system and a method for tracking a plurality of objects, including obtaining input data, estimating a number of skipping frames of the input data based on information from the input data, predicting results based on the estimating of the number of skipping frames, and correcting the predicted results.

System and method for multiple object tracking

Methods, apparatus, and systems for multi-resolution processing for video classification. A plurality of video frames of a video are obtained and a resolution for classifying each video frame of the plurality of video frames is determined by analyzing each video frame using a policy network. Based on the determined resolution, each video frame having a determined resolution is rescaled and each rescaled video frame is routed to a classifier of a backbone network that corresponds to the determined resolution. Each rescaled video frame is classified using the corresponding classifier of the backbone network to obtain a plurality of classifications and the classifications are averaged to determine an action classification of the video.

Dynamic multi-resolution processing for video classification

A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

System and method for perspective preserving stitching and summarizing views

A computer-implemented method for finding objects in a collection of images or video, the method comprising: assessing a similarity between two subgraphs; detecting the objects in the collection; assessing a relationship between the objects; finding attributes of the objects; constructing a collection graph for the collection where each of the objects is the vertices and nodes of the collection graph and their relationships with other objects and attributes are edges of the collection graphs; recursively identifying coherent subgraphs and turning the coherent subgraphs into new meta-nodes of the collection graph; identification of the stable graph reducing the collection graph into zero or more distinct stories; assigning a similarity score for each pair of the stories based on a similarity between the corresponding stories; linking the stories into inlier stories based on the similarity score being greater than a first pre-determined threshold level.

Aerial videos compression

Systems, computer-implemented methods, and computer program products to focus a microscope. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analyzer component that can analyze sub-images of respective sample images to identify one or more sub-images having a maximized variance of a gradient derivative corresponding to the one or more sub-images. The respective sample images can be acquired at one or more focal positions along an optical axis of a microscope. The computer executable components can further comprise a selection component that can select an image, from the respective sample images, that comprises the one or more sub-images identified. The computer executable components can also comprise a focus component that, based on a focal position corresponding to the image selected, can focus the microscope to the focal position.

Automated focusing of a microscope of an optical inspection system

Techniques that facilitate integrated circuit defect detection using pattern images are provided. In one example, a system generates an equalized pattern image of a pattern image associated with a module under test based on an adaptive contrast equalization technique. The system also identifies a first set of features of the equalized pattern image based on a feature point detection technique and aligns the equalized pattern image with a reference pattern image based on the first set of features and a second set of features of the reference pattern image. Furthermore, the system compares a first set of light intensities of the equalized pattern image to a second set of light intensities of the reference pattern image to identify one or more regions of the module under test that satisfy a defined criterion associated with a defect for the module under test.

Integrated circuit defect detection using pattern images

One or more contacts are detected in an electron microscope image corresponding to a region of interest on an integrated circuit. One or more standard cells are identified based on the detected one or more contacts in the electron microscope image. One or more components of the integrated circuit are determined based on the identified one or more standard cells.

Non-destructive determination of components of integrated circuits

A compression system for compressing a video received from an imaging device, the compression system including a transformation estimation device configured to estimate, based on pixel transformations between a first frame and a second frame of the video, a transformation matrix, an encoding device configured to encode the second frame as an increment with the first frame based on the transformation matrix generated by the transformation device, a compression device configured to compress the increments into compressed data, and a reconstruction device configured to reconstruct the first frame and the second frame using the transformation matrix generated by the transformation estimation device.

System, method, and recording medium for compressing aerial videos

Embodiments include method, systems and computer program products for reducing surface reflectance, for example in a photograph. Aspects include receiving an image set containing a plurality of images of an object. Aspects also include determining geometric transformations for the images and constructing a panorama of the object from the images using the geometric transformations. Aspects also include replacing a portion in the panorama with a corresponding replacement portion from the image set.

Surface reflectance reduction in images using non-specular portion replacement

A method includes obtaining two-dimensional measurements of a given scene from sensors, the given scene comprising a plurality of scene points, distributing the given scene into bundles each associated with at least one sensor and at least one scene point, establishing constraints associated with the sensors and the plurality of scene points that are associated with two different bundles, estimating, individually for each of the bundles, a set of parameters for the at least one sensor and the at least one scene point associated with that bundle utilizing at least one of the two-dimensional measurements, generating a consensus parameter set for the one or more sensors and the plurality of scene points based on the estimated parameter sets, the established constraints being utilized to reconcile differences in parameter values in the estimated parameter sets, and producing a three-dimensional representation of the given scene utilizing the consensus parameter set.

Distributed processing for producing three-dimensional reconstructions

A discrepancy detection system for detecting a discrepancy between a plurality of video images of a same scene captured by an imaging device at different times, the system including a correspondence point detection device configured to detect corresponding points matching each other between a first video image sequence of the plurality of video images and a second video image sequence of the plurality of video images and a comparison device configured to compare image content of the first video image sequence and the second video image sequence for the discrepancy in the image content between the first video image sequence and the second video image sequence.

System, method, and recording medium for detecting events for interest from mobile

A method and a system of stitching a plurality of views of a scene, the method including extracting points of interest in each view to include a point set from each of the plurality of image views of the scene, matching the points of interest and reducing an outlier, grouping the matched points of interest in a plurality of groups, determining a similarity transformation with a smallest rotation angle for each grouping of the match points, generating virtual matching points on a non-overlapping area of the plurality of image views, generating virtual matching points on an overlapping area for each of the plurality of image views, and calculating piecewise projective transformations for the plurality of image views.

A system, method and computer program product for relating corresponding points in images with an overlapping scene. An example method includes generating transformed images of a target image using different image transformations for each of transformed images. Texture descriptors are extracted for feature points in the transformed images and a reference image. Matched feature points are identified and inliers from matched feature points are selected. An aligning transformation is generated using the inliers for at least one of the transformed images. A panorama image is created with the target image and reference image after the images are aligned.

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White Plains, NY, United States of America

Chung-Ching Lin