PATENT CLAIM ANALYSIS

Application Number: 15871713
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["375", "240290"]

Abstract:
A de-blocking filter includes a reconstructed memory that is configured to store reconstructed pixels corresponding to a current macroblock of a video image to be filtered. The current macroblock includes a set of sub-blocks, each sub-block having horizontal edges and vertical edges. An internal pixel buffer in the de-blocking filter is configured to store pixels corresponding to the set of sub-blocks from the reconstructed memory, and to store partially filtered pixels corresponding to a set of partially filtered macroblocks. An edge order controller in the de-blocking filter is configured to load the pixels corresponding to the set of sub-blocks into a filter engine from the internal pixel buffer, to filter the set of sub-blocks, such that, at least one horizontal edge is filtered before filtering all vertical edges of the set of sub-blocks.

Claim (Index 4):
The de-blocking filter of  claim 1 , wherein a filtering order for each sub-block is the left vertical edge followed by the right vertical edge followed by the top horizontal edge and followed by the bottom horizontal edge, such that, the set of sub-blocks are processed from top to bottom of the current macroblock.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.58182
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14278697', '14282211', '15853474', '14818886', '11233448']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5463176407532783
- 35 USC 102 Novelty (BERT): 0.5637620699912269
- Combined Prediction Score: 0.5480620836770731
- Mean Citation Score: 328.54872400000005
- Max Citation Score: 432.85477
- Similarity Product: 423.8660218660289

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test