PATENT CLAIM ANALYSIS

Application Number: 16017235
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["717", "137000"]

Abstract:
A method for rendering a SVG content is provided. The method includes identifying one or more SVG tags and attributes in the SVG content by parsing the SVG content. Further, the method includes converting each of the identified SVG tags and attributes to a unique binary stream for obtaining a binary representation of the SVG content. The unique binary stream represents each of the SVG tags and the attributes. Further, the method includes storing the binary representation of the SVG content. Further, the method includes dynamically rendering the SVG content by parsing the binary representation.

Claim (Index 20):
A non-transitory computer readable medium configured to store:\n a mapping table for generating a binary representation of scalable vector graphics (SVG) content and rendering the SVG content, wherein the mapping table associates each of SVG tags with a corresponding binary stream and each of SVG attributes with a corresponding binary stream; and one or more computer programs including instructions that, when executed by at least one processor, cause the at least one processor to control to:\n determining whether the SVG content is in the binary representation, \n in response to determining that the SVG content is not in the binary representation, generate the binary representation of the SVG content based on the mapping table, \n obtain vector data of the SVG content by parsing the binary representation of the SVG content, by using the mapping table, and \n control the display to display the SVG content by rendering the vector data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.73684
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11245859', '15046601', '11348821', '10731940', '13044774']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4077924094005506
- 35 USC 102 Novelty (BERT): 0.5065842867436007
- Combined Prediction Score: 0.4176715971348557
- Mean Citation Score: 196.363602
- Max Citation Score: 205.5747
- Similarity Product: 137.54586291530728

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

Dataset: test