US5414779A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Image frame detection
Assignee: Eastman Kodak Co
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Filing: 1993-06-14
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Granted: 1995-05-09
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Expires: 2013-06-14
Abstract
Abstract Locations of respective image frames contained on an image recording, such as a continuous color photographic film strip scanned by digitizing opto-electronic scanner are identified by storing scanline data produced by the scanner in a digital database, and processing the stored scanline data to generate a predictor space which is used to identify locations of all the minimally valid frames. Thereafter, the well formed image frames are used to produce statistics which are used to detect the location of other frames.
Inventors
- 👤 John Mitch
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:46
CPC Classifications
G; G03; G03B; G03B27/00; G03B27/32; G03B27/52; G03B27/62; G03B27/6271; G03B27/6285
Claims Analysis
Total Claims: 21
Claim 1
Independent Claim
147 words
A method of detecting the locations of respective image frames contained on an image recording medium, comprising the steps of: (a) scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) processing such scanned digital pixel data in accordance with predetermined equations, including a scan line sum predictor equations and at least one of a previous delta predictor equation and a next delta predictor equation to generate a predictor space for frame identifiers; (c) producing a series of thresholds based upon a predetermined percentile of the predictor space; (d) determining all the well formed image frames based upon the thresholds; and (e) using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames.
Claim 2
Independent Claim
147 words
A method of detecting the locations of respective image frames contained on an image recording medium, comprising the steps of: (a) scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) processing such scanned digital pixel data in accordance with predetermined equations, including a scan line sum predictor equations and at least one of a previous delta predictor equation and a next delta predictor equation to generate a predictor space for frame identifiers; (c) producing a series of thresholds based upon a predetermined percentile of the predictor space; (d) determining all the well formed image frames based upon the thresholds; and (e) using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames.
Claim 3
Independent Claim
153 words
A method of detecting the locations of respective image frames contained on an image recording medium, comprising the steps of: (a) scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) processing such scanned digital pixel data in accordance with predetermined equations to generate a predictor space for frame identifiers; (c) producing a series of thresholds based upon a predetermined percentile of the predictor space; (d) determining all the well formed image frames based upon the thresholds; and (e) using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames wherein the predictor space predetermined equations include scan line sums, neutral, variation, next delta, window delta, and previous delta predictors based on comparison of adjacent scan line sums equations.
Claim 4
Independent Claim
153 words
A method of detecting the locations of respective image frames contained on an image recording medium, comprising the steps of: (a) scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) processing such scanned digital pixel data in accordance with predetermined equations to generate a predictor space for frame identifiers; (c) producing a series of thresholds based upon a predetermined percentile of the predictor space; (d) determining all the well formed image frames based upon the thresholds; and (e) using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames wherein the predictor space predetermined equations include scan line sums, neutral, variation, next delta, window delta, and previous delta predictors based on comparison of adjacent scan line sums equations.
Claim 5
Dependent Claim
16 words
The method of claim 2 wherein the predetermined statistics includes a calculation of cummulative predictor percentile.
Claim 6
Dependent Claim
30 words
The method of claim 2 wherein the frame statistics are the minimum, maximum and average frame size and the minimum, maximum and average gap size between well formed image frames.
Claim 7
Dependent Claim
39 words
The method of claim 3 including calculating frame statistics based on minimum, maximum and average frame size and gap size, and proceeding forwardly and rearwardly using the frame statistics to locate frames which are characterized by only one edge.
Claim 8
Dependent Claim
35 words
The method of claim 3 including adjusting the size of all determined frames to be the same as a nominal image frame to a size which is based upon the need of a user device.
Claim 9
Dependent Claim
32 words
The method of claim 2 wherein the thresholds include minimum and maximum set of thresholds and the thresholds are iteratively increased from the minimum to the maximum to search for unidentified frames.
Claim 10
Dependent Claim
45 words
The method of claim 2 further including the steps of determining leading and trailing frame edges, and determining frames which abut each other without a gap between them based upon the leading edge of a first frame and the trailing edge of a second frame.
Claim 11
Dependent Claim
27 words
The method of claim 2 including the step of detecting frame edges which traverse multiple scan lines by using digital pixel density changes in multiple scan lines.
Claim 12
Independent Claim
152 words
An apparatus for detecting the locations of respective image frames contained on an image recording medium comprising: (a) means for scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) means for processing such scanned digital pixel data in accordance with predetermined equations, including a scan line sum predictor equations and at least one of a previous delta predictor equation and a next delta predictor equation to generate a predictor space for frame identifiers; (c) means for producing a series of thresholds based upon a predetermined percentile of the predictor space; and (d) means for determining all the well formed image frames based upon the thresholds and using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames.
Claim 13
Independent Claim
152 words
An apparatus for detecting the locations of respective image frames contained on an image recording medium comprising: (a) means for scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) means for processing such scanned digital pixel data in accordance with predetermined equations, including a scan line sum predictor equations and at least one of a previous delta predictor equation and a next delta predictor equation to generate a predictor space for frame identifiers; (c) means for producing a series of thresholds based upon a predetermined percentile of the predictor space; and (d) means for determining all the well formed image frames based upon the thresholds and using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames.
Claim 14
Independent Claim
150 words
An apparatus for detecting the locations of respective image frames contained on an image recording medium comprising: (a) means for scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) means for processing such scanned digital pixel data in accordance with predetermined equations to generate a predictor space for frame identifiers; (c) means for producing a series of thresholds based upon a predetermined percentile of the predictor space; and (d) means for determining all the well formed image frames based upon the thresholds and using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames; wherein the predictor space predetermined equations include scan line sums, neutral, variation, next delta, window delta, and previous delta predictors equations.
Claim 15
Independent Claim
150 words
An apparatus for detecting the locations of respective image frames contained on an image recording medium comprising: (a) means for scanning said image recording medium so as to produce digital pixel data representative of the contents of each successive scan line of said image recording medium; (b) means for processing such scanned digital pixel data in accordance with predetermined equations to generate a predictor space for frame identifiers; (c) means for producing a series of thresholds based upon a predetermined percentile of the predictor space; and (d) means for determining all the well formed image frames based upon the thresholds and using the determined well formed image frames to produce frame statistics which are used to detect the location of image frames other than the well formed image frames; wherein the predictor space predetermined equations include scan line sums, neutral, variation, next delta, window delta, and previous delta predictors equations.
Claim 16
Dependent Claim
32 words
An apparatus as claimed in claim 11, wherein the frame statistics are a minimum, maximum and average frame size and a minimum, maximum and average gap size between will formed image frames.
Claim 17
Dependent Claim
41 words
An apparatus as claimed in claim 12 further comprising means for calculating statistics based on minimum, maximum and average frame size and gap size, and means for using the frame statistics to locate frames which are characterized by only one edge.
Claim 18
Dependent Claim
40 words
An apparatus as claimed in claim 13, further comprising means for adjusting the size of all determined frames to be the same as a nominal image frame to a size which is based upon the need of a user device.
Claim 19
Dependent Claim
34 words
An apparatus as claimed in claim 11, wherein the thresholds include minimum and maximum set of thresholds and the thresholds are iteratively increased from the minimum to the maximum to search for unidentified frames.
Claim 20
Dependent Claim
46 words
An apparatus as claimed in claim 11 further comprising means for determining leading and trailing frame edges, and determining frames which abut each other without a gap between them based upon the leading edge of a first frame and the trailing edge of a second frame.
Claim 21
Dependent Claim
29 words
An apparatus as claimed in claim 11 further comprising means for detecting frame edges which traverse multiple scan lines by using digital pixel density changes in multiple scan lines.
References Cited (Backward Citations)
US4281344A
Cited
US4591908A
Cited
US4704633A
Cited
US4651199A
Cited
US4704628A
Cited
US4698672A
Cited
US4725885A
Cited
US4947205A
Cited
US5150209A
Cited
US5157482A
Cited
US5151949A
Cited
US5223926A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1998-05-08 | 1998-11-07 | 1999-05-09 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2002-05-08 | 2002-11-07 | 2003-05-09 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2006-05-08 | 2006-11-07 | 2007-05-09 | $7700.00 | Window Closed / Lapsed |