Resumes
Resumes
Nebojsa Jojic Phones & Addresses
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1433 185Th Ave NE, Bellevue, WA 98008 (425) 941-8219
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Oak Park, IL
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6210 143Rd St, Redmond, WA 98052 (425) 497-8401
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1015 Francis Dr, Champaign, IL 61821 (217) 359-3135
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702 Western Ave, Urbana, IL 61801 (217) 384-8240
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Kiona, WA
Publications
Us Patents
Method Of Learning Deformation Models To Facilitate Pattern Matching
View pageUS Patent:
6701016, Mar 2, 2004
Filed:
Dec 22, 2000
Appl. No.:
09/747885
Inventors:
Nebojsa Jojic - Redmond WA
Patrice Simard - Bellevue WA
Patrice Simard - Bellevue WA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06K 962
US Classification:
382209, 382228, 382252, 382277, 382280, 382293
Abstract:
A model characterizes an error pattern that is functionally related to first and second patterns and to one or more model parameters, which may be unknown. The error pattern may be derived by deforming one or both of the first and second patterns, such as by applying a generally smooth, non-uniform deformation field. A likelihood for the model that the error pattern is zero, given the second pattern, is determined. If the model parameter(s) is unknown, the likelihood may be used to estimate (or infer) the parameter(s) that tend to maximize the likelihood for a plurality of stored patterns. The estimated parameters may, in turn, be employed to determine the likelihood as a measure of similarity between an observed pattern and the patterns that the model is capable of generating. In addition, the likelihood may be used to classify an observed pattern according to the likelihood that the observed pattern has relative to one or more models.
System And Method To Facilitate Pattern Recognition By Deformable Matching
View pageUS Patent:
6785419, Aug 31, 2004
Filed:
Dec 22, 2000
Appl. No.:
09/748564
Inventors:
Nebojsa Jojic - Redmond WA
Patrice Simard - Bellevue WA
Patrice Simard - Bellevue WA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06K 948
US Classification:
382197, 382215, 382219, 382220, 382251, 707 6
Abstract:
A system and method to facilitate pattern recognition or matching between patterns are disclosed that is substantially invariant to small transformations. A substantially smooth deformation field is applied to a derivative of a first pattern and a resulting deformation component is added to the first pattern to derive a first deformed pattern. An indication of similarity between the first pattern and a second pattern may be determined by minimizing the distance between the first deformed pattern and the second pattern with respect to deformation coefficients associated with each deformed pattern. The foregoing minimization provides a system (e. g. , linear) that may be solved with standard methods.
Speaker Detection And Tracking Using Audiovisual Data
View pageUS Patent:
6940540, Sep 6, 2005
Filed:
Jun 27, 2002
Appl. No.:
10/183575
Inventors:
Matthew James Beal - Belsize Park, GB
Nebojsa Jojic - Redmond WA, US
Hagai Attias - Seattle WA, US
Nebojsa Jojic - Redmond WA, US
Hagai Attias - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
H04N002/225
G06F015/00
G06F015/00
US Classification:
348169, 702181
Abstract:
A system and method facilitating object tracking is provided. The system includes an audio model that receives at least two audio input signals and a video model that receives a video input. The audio model and the video model employ probabilistic generative models which are combined to facilitate object tracking. Expectation maximization can be employed to modify trainable parameters of the audio model and the video model.
System And Method To Facilitate Pattern Recognition By Deformable Matching
View pageUS Patent:
6993189, Jan 31, 2006
Filed:
Jun 14, 2004
Appl. No.:
10/867255
Inventors:
Nebojsa Jojic - Redmond WA, US
Patrice Simard - Bellevue WA, US
Patrice Simard - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06K 9/48
US Classification:
382197, 382215, 382219, 382220, 382251, 707 6
Abstract:
A system and method to facilitate pattern recognition or matching between patterns are disclosed that is substantially invariant to small transformations. A substantially smooth deformation field is applied to a derivative of a first pattern and a resulting deformation component is added to the first pattern to derive a first deformed pattern. An indication of similarity between the first pattern and a second pattern may be determined by minimizing the distance between the first deformed pattern and the second pattern with respect to deformation coefficients associated with each deformed pattern. The foregoing minimization provides a system (e. g. , linear) that may be solved with standard methods.
System And Method For Automatically Learning Flexible Sprites In Video Layers
View pageUS Patent:
7113185, Sep 26, 2006
Filed:
Nov 14, 2002
Appl. No.:
10/294211
Inventors:
Nebojsa Jojic - Redmond WA, US
Brendan J. Frey - Mississauga OH, US
Brendan J. Frey - Mississauga OH, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06T 17/00
US Classification:
345420, 345683, 715716, 715723, 382159, 382173
Abstract:
A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, images or frames in a video sequence are represented as collections of flat moving objects that change their appearance and shape over time, and can occlude each other over time. A statistical generative model is defined for generating such visual data where parameters such as appearance bit maps and noise, shape bit-maps and variability in shape, etc. , are known. Further, when unknown, these parameters are estimated from visual data without prior pre-processing by using a maximization algorithm. By parameter estimation and inference in the model, visual data is segmented into components which facilitates sophisticated applications in video or image editing, such as, for example, object removal or insertion, tracking and visual surveillance, video browsing, photo organization, video compositing, etc.
System And Method For Adaptive Video Fast Forward Using Scene Generative Models
View pageUS Patent:
7127127, Oct 24, 2006
Filed:
Mar 4, 2003
Appl. No.:
10/378773
Inventors:
Nebojsa Jojic - Redmond WA, US
Nemanja Petrovic - Urbana IL, US
Nemanja Petrovic - Urbana IL, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06K 9/60
G06K 9/00
G06K 9/68
G06K 9/00
G06K 9/68
US Classification:
382305, 382181
Abstract:
Computationally efficient searching, browsing and retrieval of one or more objects in a video sequence are accomplished using learned generative models. The generative model is trained on an automatically or manually selected query sequence from a sequence of image frames. The resulting generative model is then used in searching, browsing or retrieval of one or more similar or dissimilar image frames or sequences within the image sequence by determining the likelihood of each frame under the learned generative model. Further, this method allows for automatic separation and balancing of various causes of variability while analyzing the image sequence. The generative models are based on appearances of multiple, possibly occluding objects in an image sequence. Further, the search strategies used include clustering and intelligent fast forward through the image sequence. Additionally, in one embodiment, a fast forward speed is relative to the current frame likelihood under the learned generative model.
User Interface For Adaptive Video Fast Forward
View pageUS Patent:
7152209, Dec 19, 2006
Filed:
Mar 28, 2003
Appl. No.:
10/401371
Inventors:
Nebojsa Jojic - Redmond WA, US
Nemanja Petrovic - Urbana IL, US
Nemanja Petrovic - Urbana IL, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G11B 27/00
US Classification:
715720, 715719, 715723, 715838, 725 37, 707 3, 382305
Abstract:
A user interface (UI) for adaptive video fast forward provides a novel fully adaptive content-based UI for allowing user interaction with an image sequence or video relative to a user identified query sample. This query sample is drawn either from an image sequence being searched or from another image sequence entirely. The user interaction offered by the UI includes providing a user with computationally efficient searching, browsing and retrieval of one or more objects, frames or sequences of interest in video or image sequences, as well as automatic content-based variable-speed playback based on a computed similarity to the query sample. In addition, the UI also provides the capability to search for image frames or sequences that are dissimilar to the query sample, thereby allowing the user to quickly locate unusual or different activity within an image sequence.
Click Passwords
View pageUS Patent:
7243239, Jul 10, 2007
Filed:
Jun 28, 2002
Appl. No.:
10/187311
Inventors:
Darko Kirovski - Bellevue WA, US
Nebojsa Jojic - Redmond WA, US
Paul Roberts - Kirkland WA, US
Nebojsa Jojic - Redmond WA, US
Paul Roberts - Kirkland WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
H04K 1/00
H04L 9/00
H04L 9/00
US Classification:
713184, 726 18
Abstract:
Methods, systems, devices and/or storage media for passwords. An exemplary method tiles an image, associates an index with each tile and optionally determines offsets for select tiles. Further, the tiling optionally relies on probability and/or entropy. An exemplary password system includes an image; a grid associated with the image, the grid composed of polygons; an index associated with each polygon; and an offset associated with each polygon wherein password identification relies on one or more indices and one or more offsets.