PATENT CLAIM ANALYSIS

Application Number: 16135138
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["348", "014090"]

Abstract:
An apparatus for providing multi-party conference and a method for assigning an encoder in the apparatus are provided. The apparatus for providing multi-party conference according to one embodiment of the present disclosure includes: an image quality determination module configured to determine an image providing quality for a terminal connected to a multi-party conference created in the apparatus; and an encoder assignment module configured to assign an encoder to the terminal based on the image providing quality, wherein when an assignable encoder does not exist at the time of assigning the encoder, the encoder assignment module retrieves one encoder among previously assigned encoders and assigns the retrieved encoder to the terminal.

Claim (Index 13):
The method of  claim 9 , wherein the assigning of the encoder comprises, when an assignable unused encoder does not exist at the time of assigning the encoder, determining an encoder retrieval priority for one or more multi-party conferences created in the apparatus, retrieving one encoder among encoders previously assigned to the one or more multi-party conferences based on the encoder retrieval priority, and re-assigning the retrieved encoder to the terminal.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 97.0
- Lexical Diversity: 2.03509
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13910383', '14192492', '15487485', '14078869', '15044240']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6298124499799502
- 35 USC 102 Novelty (BERT): 0.4908682283526692
- Combined Prediction Score: 0.6159180278172222
- Mean Citation Score: 170.708756
- Max Citation Score: 194.0492
- Similarity Product: 131.029303754282

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