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US5546130A Expired / Lapsed US ⏱️ 0.0 years remaining

Method and apparatus for forming a video signal using motion estimation and signal paths with different interpolation processing

Assignee: Vantiva SA
•
Filing: 1994-09-30
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Granted: 1996-08-13
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Expires: 2014-09-30
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Abstract

Abstract Motion compensated video output signal (SO) produced by a soft switching or "fading" (SSW) between the a motion compensated interpolation (MCI) and a "fallback" mode (FFI) (e.g., intra-field), controlled by a "measure of confidence" (CF) in the reliability of the estimated motion vector. The confidence measure includes the following two components, namely: (i) a "basic confidence measure" (e.g., a block based, minimum motion estimation error (BME) and (ii) a measure based on the motion velocity or "speed" of movement of the motion vector or its horizontal (MVX) and vertical components (MVY).

Inventors

  • 👤 Andrew Hackett
  • 👤 Michael Knee
  • 👤 Michel Kerdranvat
  • 👤 Nadine Bolender

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-02 22:47
CPC Classifications
H; H04; H04N; H04N7/00; H04N7/01; H04N7/0127; H04N7/0132; H04N19/00; H04N19/50; H04N19/503; H04N19/51; H04N19/513; H04N19/521; H04N7/0135; H04N7/014; Y; Y10; Y10S; Y10S348/00; Y10S348/91

Claims Analysis

Total Claims: 21
Claim 1
Independent Claim 85 words
A method for forming a video output signal (So) from a video input signal (Si) using motion estimation (ME) and signal paths with different interpolation processing comprising motion compensated interpolation (MCI) in one signal path and fallback interpolation (FFI) in the other path, comprising the steps of: combining the output signals of the different signal paths (SSW) in relation to a measure of confidence (CF); forming the measure of confidence from a block based, minimum motion estimation error (BME) of the video input signal (Si).
Claim 2
Independent Claim 85 words
A method for forming a video output signal (So) from a video input signal (Si) using motion estimation (ME) and signal paths with different interpolation processing comprising motion compensated interpolation (MCI) in one signal path and fallback interpolation (FFI) in the other path, comprising the steps of: combining the output signals of the different signal paths (SSW) in relation to a measure of confidence (CF); forming the measure of confidence from a block based, minimum motion estimation error (BME) of the video input signal (Si).
Claim 3
Dependent Claim 49 words
A method according to claim 1 wherein the step of forming the measure of confidence includes: forming a block motion vector (MVX or MVY) from the video input signal (Si); and combining (CB) said block based minimum motion estimation error (BME) with the block motion vector (MVX or MVY).
Claim 4
Dependent Claim 60 words
A method according to claim 1 wherein the step of forming the measure of confidence includes: forming a horizontal block motion vector (MVH) and a vertical block motion vector (MVY) from said video input signal (So); and combining (CB) said block based minimum motion estimation error (BME), said horizontal block motion vector (MVH) and said vertical block motion vector (MVY).
Claim 5
Dependent Claim 24 words
A method according to claim 1 further comprising the step of: filtering said block motion estimation error (BME) with a rank order filter (ROFL).
Claim 6
Dependent Claim 26 words
A method according to claim 2 further comprising the step of: filtering said block based minimum motion estimation error (BME) with a rank order filter (ROFL).
Claim 7
Dependent Claim 26 words
A method according to claim 3 further comprising the step of: filtering said block based minimum motion estimation error (BME) with a rank order filter (ROFL).
Claim 8
Dependent Claim 19 words
A method according to claim 5 further comprising the step of: median filtering (MFL1, MFL2) said block motion vector.
Claim 9
Dependent Claim 28 words
A method according to claim 6 further comprising the step of: median filtering (MFL1, MFL2) said horizontal block motion vector component and said vertical block motion vector component.
Claim 10
Independent Claim 61 words
A method according to any of claims 3-8 further comprising the step of: subjecting at least one of said block based minimum motion estimation error (BME), said block motion vector, said horizontal component (MVX) of said block motion vector and said vertical component (MVY) of said block motion vector to limiting filtering (L1, L2, or L3) prior to said combining step.
Claim 11
Independent Claim 77 words
A method according to any of claims 2-8 further comprising the steps of: subjecting at least one of said block based minimum motion estimation error (BME), said block motion vector, said horizontal component (MVX) of said block motion vector and said vertical component (MVY) of said block motion vector to limiting filtering (L1, L2, or L3) prior to said combining step; and wherein the step of combining comprises taking a minimum of the signals that are combined.
Claim 12
Independent Claim 77 words
A method according to any of claims 2-8 further comprising the steps of: subjecting at least one of said block based minimum motion estimation error (BME), said block motion vector, said horizontal component (MVX) of said block motion vector and said vertical component (MVY) of said block motion vector to limiting filtering (L1, L2, or L3) prior to said combining step; and wherein the step of combining comprises taking a product of the signals that are combined.
Claim 13
Independent Claim 75 words
A method according to any of claims 2-8 further comprising the steps of: subjecting at least one of said block based minimum motion estimation error (BME), said block motion vector, said horizontal component (MVX) of said block motion vector and said vertical component (MVY) of said block motion vector to limiting filtering (L1, L2, or L3) prior to said combining step; and wherein the step of combining comprises selecting confidence values from a look-up table.
Claim 14
Dependent Claim 157 words
Apparatus for forming a video signal (S o ) using motion estimation (ME) and signal paths with different interpolation processing, in particular motion compensated interpolation (MCI) and fallback interpolation (FFI), comprising: motion compensated interpolation means (MCI) and fallback interpolation means (FFI) coupled to receive said input video signal (S i ); combining means (SSW) for combining output signals of said motion compensated and fallback interpolation means in relation to a measure of confidence value (CF); combining means for deriving said measure of confidence value from a block based minimum motion estimation error (BME) of the video input signal (Si) and from a related block motion vector or its components (MVX, MVY); and motion estimation means (ME) for calculating from said input signal (Si), or motion information extractor means (ME) which extract from the transmitted input signal data stream, said block based minimum motion estimation error (BME) and said related block motion vector or its components (MVX, MVY).
Claim 15
Dependent Claim 157 words
Apparatus for forming a video signal (S o ) using motion estimation (ME) and signal paths with different interpolation processing, in particular motion compensated interpolation (MCI) and fallback interpolation (FFI), comprising: motion compensated interpolation means (MCI) and fallback interpolation means (FFI) coupled to receive said input video signal (S i ); combining means (SSW) for combining output signals of said motion compensated and fallback interpolation means in relation to a measure of confidence value (CF); combining means for deriving said measure of confidence value from a block based minimum motion estimation error (BME) of the video input signal (Si) and from a related block motion vector or its components (MVX, MVY); and motion estimation means (ME) for calculating from said input signal (Si), or motion information extractor means (ME) which extract from the transmitted input signal data stream, said block based minimum motion estimation error (BME) and said related block motion vector or its components (MVX, MVY).
Claim 16
Dependent Claim 53 words
Apparatus according to claim 13 further comprising: means (ROFL) for rank order filtering said block based minimum motion estimation error (BME) and for median filtering (MFL1, MFL2) said related block motion vector or its components (MVX, MVY) before being used in said combining means (CB) for forming said measure of confidence value (CF).
Claim 17
Dependent Claim 51 words
Apparatus according to claim 13 further comprising: filter means (L1, L2, L3) for applying limiting filtering to said block based minimum motion estimation error (BME) and to said related block motion vector or its components before being used in said combining means (CB) for forming said measure of confidence value (CF).
Claim 18
Dependent Claim 100 words
Apparatus according to claim 13 further comprising: means (ROFL) for rank order filtering said block based minimum motion estimation error (BME) and for median filtering (MFL1, MFL2) said related block motion vector or its components (MVX, MVY) before being used in said combining means (CB) for forming said measure of confidence value (CF); and filter means (L1, L2, L3) for applying limiting filtering to said block based minimum motion estimation error (BME) and to said related block motion vector or its components (MVX, MVY) before being used in said combining means (CB) for forming said measure of confidence value (CF).
Claim 19
Dependent Claim 27 words
A method as recited in claim 4 wherein said rank order filter (ROFL) comprises one of (i) a median filter (ROFL-A) and (ii) a window filter (ROFL-B).
Claim 20
Dependent Claim 27 words
A method as recited in claim 5 wherein said rank order filter (ROFL) comprises one of (i) a median filter (ROFL-A) and (ii) a window filter (ROFL-B).
Claim 21
Dependent Claim 27 words
A method as recited in claim 6 wherein said rank order filter (ROFL) comprises one of (i) a median filter (ROFL-A) and (ii) a window filter (ROFL-B).

References Cited (Backward Citations)

EP0294961A2 Cited
US4891701A Cited
US4941045A Cited
US4967271A Cited
WO1991020155A1 Cited
US5134480A Cited
US5410356A Cited
EP0656156A1 Cited
US5412436A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 1999-08-13 2000-02-12 2000-08-13 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2003-08-13 2004-02-12 2004-08-13 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2007-08-13 2008-02-12 2008-08-13 $7700.00 Window Closed / Lapsed

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