PATENT CLAIM ANALYSIS

Application Number: 16005463
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["375", "240200"]

Abstract:
Methods are provided for reducing the size of a transpose buffer used for computation of a two-dimensional (2D) separable transform. Scaling factors and clip bit widths determined for a particular transpose buffer size and the expected transform sizes are used to reduce the size of the intermediate results of applying the 2D separable transform. The reduced bit widths of the intermediate results may vary across the intermediate results. In some embodiments, the scaling factors and associated clip bit widths may be adapted during encoding.

Claim (Index 16):
The apparatus of  claim 15  wherein reducing a bit width of each intermediate result of applying the third 1D transform comprises:\n scaling the bit width of each intermediate result of applying the third 1D transform based on a second shift amount, wherein a same second shift amount is applied to each intermediate result; and \n clipping the scaled bit width of each intermediate result of applying the third 1D transform to a final bit width, wherein the final bit width for a first scaled intermediate result of applying the third 1D transform is different from the final bit width for a second scaled intermediate result of applying the third 1D transform.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 94.0
- Lexical Diversity: 1.82
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13846809', '14806027', '15357515', '13470352', '15451944']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5151524779836852
- 35 USC 102 Novelty (BERT): 0.5835731075735269
- Combined Prediction Score: 0.5219945409426694
- Mean Citation Score: 365.639098
- Max Citation Score: 460.81003
- Similarity Product: 452.00959736074617

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