PATENT CLAIM ANALYSIS

Application Number: 16228579
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-11
Patent Classification: ["382", "103000"]

Abstract:
A technique is disclosed for automating tracking of annotated objects and improves the throughput and efficiency of existing methods while maintaining a degree of accuracy comparable to a human annotator. In particular, the disclosed technique provides an automated annotated object tracking tool that allows machine-learning teams to annotate an object within a frame and have that annotation persist across frames as the annotated object is tracked within a series of frames, still ensuring that every frame is accurately reviewed by a human where high quality annotation is required. This technique incorporates human feedback via a user adjustment that allows the tool to adapt and improve its accuracy in tracking an annotated object across a sequence of frames.

Claim (Index 21):
A computer program product for annotation, the computer program product being embodied in a tangible computer readable storage medium and comprising computer instructions for:\n presenting a first frame in a series of pre-recorded frames; receiving a first annotation of a first bounding region of an object in the first frame; predicting a location of the object in a second frame in the series of pre-recorded frames; obtaining a second bounding region of the object in the second frame in the series of pre-recorded frames based at least in part on the prediction of the location of the object in the second frame; outputting the second bounding region; receiving a user adjustment of the prediction; determining a difference between the prediction and the user adjustment and adjusting a prediction of a location of the object in a subsequent frame in response to the difference.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 1.71831
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15973114', '15645555', '15655065', '15965665', '15400118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3157245260519074
- 35 USC 102 Novelty (BERT): 0.476985757194438
- Combined Prediction Score: 0.3318506491661604
- Mean Citation Score: 165.607178
- Max Citation Score: 171.13779
- Similarity Product: 122.28664358601988

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