PATENT CLAIM ANALYSIS

Application Number: 15903385
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["375", "240160"]

Abstract:
In video motion estimation an initial candidate motion vector is generated for each block and a vector error is determined as for example a DFD. Spatial gradients of pixel values are calculated and used to refine the initial candidate motion vector. The relative contribution of the spatial gradients to the refinement process depends on the vector error.

Claim (Index 21):
A non-transitory computer readable medium containing instructions causing a computer to execute a video motion estimation method, comprising the steps of\n dividing a frame into blocks of pixels; generating for each block at least one initial candidate motion vector to represent a respective position of the pixels of the block in a respective reference frame, each initial candidate motion vector being common to all pixels in the block; determining separately for each pixel a vector error representing an error in that initial candidate motion vector to represent the position of that pixel in the reference frame; determining spatial gradients of pixel values; refining each initial candidate motion vector at each pixel with said spatial gradients of pixel values to derive one or more refined motion vectors, the contribution of spatial gradients of pixel values to the refinement process being determined by said vector error; and separately assigning one refined motion vector to each pixel; in which the contribution of spatial gradients of pixel values to the refinement process is determined by multiplication by a weight function which is a decreasing function of the vector error.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 1.5
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12893436', '14245326', '13832764', '14641595', '11101580']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4374006573941656
- 35 USC 102 Novelty (BERT): 0.4924957356970804
- Combined Prediction Score: 0.4429101652244571
- Mean Citation Score: 219.02266200000005
- Max Citation Score: 231.62651
- Similarity Product: 183.041469699052

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test