PATENT CLAIM ANALYSIS

Application Number: 15975141
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["725", "093000"]

Abstract:
A video processing method, video processing apparatus, and a computer storage medium are also disclosed for implementing a solution for compensating for lost video frames that are lost during transmission. Lost video frame detection and compensation is implemented by separately numbering each video frame, at a data layer of transmission, with no need to perform additional encoding/decoding calculation, and without increasing a load of a server during lost frame compensation. A lost video frame is compensated for by inserting a compensation video frame after the lost video frame is detected, so as to ensure that a total quantity of video frames is not changed, thereby avoiding stalling at the playback end during a playback process because the quantity of video frames decreases, and ensuring smooth watching during video playback.

Claim (Index 2):
The video processing method according to  claim 1 , wherein:\n obtaining the video frame queue comprises:\n obtaining the video frame queue including a plurality of video frames that are each assigned a separate number according to a chronological order in which the video frames are generated; and \n detecting whether the video frame in the video frame queue is lost during transmission comprises:\n detecting, during transmission of the video frame queue, whether a number assigned to a video frame included in the video frame queue is missing or erroneous; and \n determining that the video frame corresponding to the missing or erroneous number is the lost video frame when the number assigned to the video frame is detected to be missing or erroneous.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 93.0
- Lexical Diversity: 1.91781
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11037192', '12350975', '15016821', '14353695', '14494677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4611905043178006
- 35 USC 102 Novelty (BERT): 0.4732967875250333
- Combined Prediction Score: 0.4624011326385239
- Mean Citation Score: 172.477964
- Max Citation Score: 179.34822
- Similarity Product: 138.5408410985112

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