Mehmet N Tek

US Patent:

8260035, Sep 4, 2012

Filed:

Sep 22, 2006

Appl. No.:

11/525527

Inventors:

Mehmet Tek - Quincy MA, US
Timothy Tiemeyer - Providence RI, US
Andrey Vertikov - Westwood MA, US

Assignee:

KLA-Tencor Corporation - Milpitas CA

International Classification:

G06K 9/00

US Classification:

382152, 382100, 382141, 382149, 382145

Abstract:

A method and system for inspecting a surface of a semiconductor workpiece comprises providing a surface inspection system and using the surface inspection apparatus to cause laser light to impinge upon a test location on the workpiece surface and thereby cause the laser light to emerge from the surface as returned light comprising at least one of reflected light and scatter light; collecting the returned light and generating a signal from the returned and collected light, the signal comprising a signal value representative of a characteristic of the workpiece surface at the test location; providing a plurality of threshold candidates and causing the surface inspection system to select a threshold from among the plurality of threshold candidates; comparing the threshold to the signal value to obtain a difference value; using the difference value to assess the characteristic of the workpiece surface at the test location; and using the surface inspection system to automatically cause the method to be repeated for a plurality of test locations on the workpiece surface.

US Patent:

20060067390, Mar 30, 2006

Filed:

Sep 29, 2004

Appl. No.:

10/954032

Inventors:

Mehmet Tek - Quincy MA, US
Chibing Liu - Northborough MA, US

Assignee:

Teradyne, Inc. - Boston MA

International Classification:

H04B 17/00

US Classification:

375224000

Abstract:

A system and method for characterizing the jitter of a periodic signal. Samples of the signal are taken with a sampling device. A set of samples representing a particular value of the signal in multiple cycles of the periodic signal is collected. Those values are formed into a histogram. The histogram is matched to a probability distribution function. By identifying parameters that shape the probability distribution function to match the histogram of actual samples, characteristics of the jitter are determined. This technique may be employed as part of the calibration or verification of the jitter injection instrument such as might be used for testing semiconductor devices. Measurements may be made with a sampling device that is calibrated to NIST standards. In this way, the jitter measurements become NIST traceable.

US Patent:

20130326573, Dec 5, 2013

Filed:

Nov 1, 2012

Appl. No.:

13/666735

Inventors:

Eran Borenstein - Oakland CA, US
Mehmet Tek - Santa Clara CA, US
Achiezer Brandt - San Mateo CA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

H04N 21/00

US Classification:

725115

Abstract:

Systems and methods for identifying and searching video are disclosed. A video search and identification system includes a catalog representing relationships between video, data and/or objects to enable querying and search based on visual representations of video as well as data or other information associated with the video. In one example, the catalog includes video nodes, metadata nodes and card nodes, although additional or fewer node types may be used. A visual-based video identification system is provided to identify content in video sources. An unidentified video source is accessed and visual fingerprints of one or more frames are generated as query signatures for matching against a base set of known signatures. Confidence measures are generated at the bit level to assist in query signature processing.

US Patent:

20210027085, Jan 28, 2021

Filed:

Oct 9, 2020

Appl. No.:

17/067381

Inventors:

- Palo Alto CA, US
Tian Cao - Santa Clara CA, US
Bhargava Urala Kota - Buffalo NY, US
Mehmet Nejat Tek - Palo Alto CA, US

International Classification:

G06K 9/32
G06N 5/04
G06F 16/583

Abstract:

Large scale instance recognition is provided that can take advantage of channel-wise pooling. A received query image is processed to extract a set of features that can be used to generate a set of region proposals. The proposed regions of image data are processed using a trained classifier to classify the regions as object or non-object regions. Extracted features for the object regions are processed using feature correlation against extracted features for a set of object images, each representing a classified object. Matching tensors generated from the comparison are processed using a spatial verification network to determine match scores for the various object images with respect to a specific object region. The match scores are used to determine which objects, or types of objects, are represented in the query image. Information or content associated with the matching objects can be provided as part of a response.

US Patent:

20180314758, Nov 1, 2018

Filed:

Jul 3, 2018

Appl. No.:

16/026283

Inventors:

- Redmond WA, US
Eran BORENSTEIN - Los Gatos CA, US
Mehmet Nejat TEK - Santa Clara CA, US
Eitan SHARON - Palo Alto CA, US

International Classification:

G06F 17/30
G06F 3/0482
G06F 3/0484

Abstract:

A system and method are disclosed for quickly and easily browsing to points of interest within a recorded video. In examples, the present system works in tandem with a segment list which includes a list of different video sequences of a stored video of an event. One typical example of a segment list is a play-by-play (PBP) which is prepared contemporaneously with a sporting event. Segments from a segment list may be associated with, or indexed to, corresponding sequences from the stored video. Thereafter, a user interface allows a user to interactively watch or browse the event by jumping to a desired point in the video for playback by selecting its associated segment from the user interface.

US Patent:

20160379080, Dec 29, 2016

Filed:

May 27, 2016

Appl. No.:

15/166973

Inventors:

- Palo Alto CA, US
COLIN JON TAYLOR - Orinda CA, US
MEHMET NEJAT TEK - Santa Clara CA, US
Shanghsuan Tsai - Sunnyvale CA, US

International Classification:

G06K 9/46
G06T 7/40
G06T 7/60
G06T 7/00

Abstract:

Object identification through image matching can utilize ratio and other data to accurately identify objects having relatively few feature points otherwise useful for identifying objects. An initial image analysis attempts to locate a “scalar” in the image, such as may include a label, text, icon, or other identifier that can help to narrow a classification of the search, as well as to provide a frame of reference for relative measurements obtained from the image. By comparing the ratios of dimensions of the scalar with other dimensions of the object, it is possible to discriminate between objects containing that scalar in a way that is relatively robust to changes in viewpoint. A ratio signature can be generated for an object for use in matching, while in other embodiments a classification can identify priority ratios that can be used to more accurately identify objects in that classification.

US Patent:

20150310614, Oct 29, 2015

Filed:

Apr 23, 2014

Appl. No.:

14/260171

Inventors:

- Redmond WA, US
Eran Borenstein - Los Gatos CA, US
Eitan Sharon - Palo Alto CA, US
Mehmet Tek - Santa Clara CA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06T 7/00
H04N 5/232

Abstract:

Techniques for aligning images are disclosed. The frames might have been captured by a video camera on a hand held device, as one example. Collaboratively aligning related frames of image data is taught. Collaborative alignment determines a correspondence between pixels in pairs of the frames of image data, as well as a confidence in that correspondence. A coordinate system (or transformation) is assigned to each of the frames that is consistent with the correspondences between each of the frame pairs. The confidence in the respective correspondences may be used to provide a weighting to a correspondence when assigning the coordinate systems. Outlying frames may be discarded, and the process repeated for a robust solution.

US Patent:

20150312652, Oct 29, 2015

Filed:

Apr 24, 2014

Appl. No.:

14/260565

Inventors:

- Redmond WA, US
Eran Borenstein - Los Gatos CA, US
Eitan Sharon - Palo Alto CA, US
Mehmet Nejat Tek - Santa Clara CA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

H04N 21/8549
H04N 21/44
G11B 27/036

Abstract:

A system and method are disclosed for automatically generating a highlight reel of video content. Segments from a segment list may be associated with, or indexed to, corresponding sequences from a video of an event for which the segment list is prepared. Thereafter, also using the segment list, segments may be scored using a variety of predefined criteria to come up with segments which are likely to be of greatest interest to a particular user. The video sequences associated with the highest scored segments are used as the video highlight reel.