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US7003156B1 Expired / Lapsed US ⏱️ 0.0 years remaining

Object detection method and a video data retrieval method

Assignee: Toshiba Corp
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Filing: 2000-01-28
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Granted: 2006-02-21
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Expires: 2020-01-28
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Abstract

Abstract A video data description method. Both feature data of predetermined object and feature data of background area are extracted from a frame of input video. The feature data of predetermined object and the feature data of background area are described as a descriptor of the frame.

Inventors

  • 👤 Koji Yamamoto
  • 👤 Osamu Hori
  • 👤 Toshimitsu Kaneko
  • 👤 Takeshi Mita

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-09 12:47
CPC Classifications
G; G06; G06F; G06F16/00; G06F16/70; G06T; G06T7/00; G06T7/20; G06T7/285; G06F16/50; G06F16/58; G06F16/583; G06F16/5838; G06F16/78; G06F16/783; G06F16/7847; G06F16/786; G06F16/7864; G06V; G06V10/00; G06V10/20; G06V10/28

Claims Analysis

Total Claims: 12
Claim 1
Independent Claim 97 words
A video data description method, comprising: extracting feature data of a predetermined object and feature data of a background area from a frame of in input video; describing the feature data of the predetermined object and the feature data of the background area as a descriptor of the frame, the feature data of the predetermined object including an affine transformation coefficient of an area of the predetermined object, wherein the affine transformation coefficient is estimated based on movement of the predetermined object, which is approximated by an affine transformation model; and attaching the descriptor to the frame.
Claim 2
Dependent Claim 97 words
A video data description method, comprising: extracting feature data of a predetermined object and feature data of a background area from a frame of in input video; describing the feature data of the predetermined object and the feature data of the background area as a descriptor of the frame, the feature data of the predetermined object including an affine transformation coefficient of an area of the predetermined object, wherein the affine transformation coefficient is estimated based on movement of the predetermined object, which is approximated by an affine transformation model; and attaching the descriptor to the frame.
Claim 3
Dependent Claim 37 words
The video data description method according to claim 1 , wherein the describing step comprises: describing a difference between the feature data of the predetermined object and the feature data of the background area as the descriptor.
Claim 4
Dependent Claim 48 words
The video data description method according to claim 1 , wherein the feature data of the predetermined object includes at least position, outward form, and moving information of the object, and wherein the feature data of the background area includes at least moving information of the background area.
Claim 5
Dependent Claim 40 words
The video data description method according to claim 1 , wherein the descriptor includes a frame number, a pointer to a next descriptor, the feature data of the background area, and the feature data of each object in the frame.
Claim 6
Dependent Claim 32 words
The video data description method according to claim 4 , wherein the descriptor is created from a corresponding frame at an interval of a predetermined number of frames in the input video.
Claim 7
Dependent Claim 25 words
The video data description method of claim 1 , wherein the feature data of the predetermined object includes average and direction of a moving vector.
Claim 8
Dependent Claim 44 words
The video data description method of claim 1 , wherein the feature data of the background area includes at least one of an affine transformation coefficient of the background area and camera-work information describing an operation of a camera used for the input video.
Claim 9
Dependent Claim 121 words
A computer readable memory containing computer readable instructions, comprising: instruction means for causing a computer to extract feature data of a predetermined object and feature data of a background area from a frame of an input video; instruction means for causing a computer to describe the feature data of the predetermined object and the feature data of the background area as a descriptor of the frame, the feature data of the predetermined object including an affine transformation coefficient of an area of the predetermined object, wherein the affine transformation coefficient is estimated based on movement of the predetermined object, which is approximated by an affine transformation model; and instruction means for causing a computer to attach the descriptor to the frame.
Claim 10
Dependent Claim 121 words
A computer readable memory containing computer readable instructions, comprising: instruction means for causing a computer to extract feature data of a predetermined object and feature data of a background area from a frame of an input video; instruction means for causing a computer to describe the feature data of the predetermined object and the feature data of the background area as a descriptor of the frame, the feature data of the predetermined object including an affine transformation coefficient of an area of the predetermined object, wherein the affine transformation coefficient is estimated based on movement of the predetermined object, which is approximated by an affine transformation model; and instruction means for causing a computer to attach the descriptor to the frame.
Claim 11
Dependent Claim 24 words
The computer readable memory of claim 8 , wherein the feature data of the predetermined object includes average and direction of a moving vector.
Claim 12
Dependent Claim 43 words
The computer readable memory of claim 8 , wherein the feature data of the background area includes at least one of an affine transformation coefficient of the background area and camera-work information describing an operation of a camera used for the input video.

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2009-02-20 2009-08-22 2010-02-21 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2013-02-20 2013-08-22 2014-02-21 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2017-02-20 2017-08-22 2018-02-21 $7700.00 Window Closed / Lapsed

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