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 7):
A method according to  claim 6  in which, for each pixel and for each initial candidate motion vector, horizontal and vertical gradients of the frame and of the reference frame displaced according to the vector field are taken, sums of products of the horizontal and vertical gradients, of horizontal and vertical components of the initial candidate motion vectors and displaced frame differences are taken to form autocorrelation and cross-correlation signals, those signals are multiplied by weights and filtered by spatial smoothing filters, and the resulting smoothed weighted autocorrelation and cross-correlation signals are combined by taking quotients of sums of products to produce refined motion vectors.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 1.5
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12893436', '14245326', '13832764', '14641595', '11101580']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4639510240110863
- 35 USC 102 Novelty (BERT): 0.5071767524934637
- Combined Prediction Score: 0.468273596859324
- Mean Citation Score: 219.02266200000005
- Max Citation Score: 231.62651
- Similarity Product: 156.7219433986032

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