Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19018479 | UNSTRUCTURED DATA IDENTIFICATION AND WORKFLOW EXECUTION USING MACHINE-LEARNING TECHNIQUES | January 2025 | June 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18635354 | Detecting Cells of Interest in Large Image Datasets Using Artificial Intelligence | April 2024 | April 2025 | Allow | 12 | 0 | 1 | Yes | No |
| 18416462 | DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF | January 2024 | May 2025 | Allow | 16 | 0 | 0 | Yes | No |
| 18386603 | VEHICLE DEVICE SETTING METHOD | November 2023 | February 2026 | Allow | 28 | 0 | 0 | Yes | No |
| 18493899 | Analyzing Complex Single Molecule Emission Patterns with Deep Learning | October 2023 | October 2025 | Allow | 24 | 0 | 0 | No | No |
| 18489278 | SYSTEM AND METHOD FOR GENERATING PLAYER TRACKING DATA FROM BROADCAST VIDEO | October 2023 | January 2026 | Allow | 26 | 0 | 0 | Yes | No |
| 18374508 | HIGH FIDELITY INTERACTIVE SEGMENTATION FOR VIDEO DATA WITH DEEP CONVOLUTIONAL TESSELLATIONS AND CONTEXT AWARE SKIP CONNECTIONS | September 2023 | February 2025 | Allow | 16 | 0 | 0 | Yes | No |
| 18473944 | METHOD, APPARATUS, AND STORAGE MEDIUM USING PADDING/TRIMMING IN COMPRESSION NEURAL NETWORK | September 2023 | May 2025 | Allow | 20 | 1 | 1 | Yes | No |
| 18353042 | METHODS AND SYSTEMS FOR FACILITATING SECURE AUTHENTICATION OF USER BASED ON KNOWN DATA | July 2023 | September 2025 | Allow | 26 | 0 | 0 | Yes | No |
| 18349449 | TURBIDITY DETERMINATION USING COMPUTER VISION | July 2023 | December 2024 | Allow | 17 | 0 | 0 | No | No |
| 18195182 | METHOD AND DEVICE FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND ARTIFICIAL INTELLIGENCE DECODING | May 2023 | February 2026 | Allow | 34 | 0 | 1 | Yes | No |
| 18306439 | CAPTURING DIGITAL IMAGES UTILIZING A MACHINE LEARNING MODEL TRAINED TO DETERMINE SUBTLE POSE DIFFERENTIATIONS | April 2023 | July 2024 | Allow | 15 | 1 | 1 | Yes | No |
| 18129599 | BIOMETRIC AWARE OBJECT DETECTION AND TRACKING | March 2023 | July 2025 | Allow | 28 | 0 | 0 | Yes | No |
| 18175185 | METHODS OF BATCH-BASED DNN PROCESSING FOR EFFICIENT ANALYTICS | February 2023 | November 2025 | Allow | 33 | 1 | 0 | No | No |
| 18022482 | SYSTEM AND METHOD FOR PREVENTING SHRINKAGE IN A RETAIL ENVIRONMENT USING REAL TIME CAMERA FEEDS | February 2023 | June 2025 | Allow | 28 | 0 | 0 | No | No |
| 18162535 | SYSTEMS AND METHODS FOR TEXT-TO-IMAGE GENERATION USING LANGUAGE MODELS | January 2023 | December 2025 | Allow | 35 | 2 | 0 | Yes | No |
| 17926370 | IMPROVMENTS IN AND RELATING TO IMAGE CLASSIFICATION USING RETINAL GANGLION CELL MODELLING | November 2022 | March 2025 | Allow | 27 | 0 | 0 | Yes | No |
| 17990366 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR ACQUIRING IMAGE | November 2022 | October 2025 | Allow | 35 | 2 | 0 | No | No |
| 17950569 | SYSTEM, METHOD, AND COMPUTER PROGRAM FOR CONTENT ADAPTIVE ONLINE TRAINING FOR MULTIPLE BLOCKS IN NEURAL IMAGE COMPRESSION | September 2022 | February 2025 | Allow | 29 | 0 | 0 | Yes | No |
| 17902775 | ELECTRONIC APPARATUS, CONTROL METHOD THEREOF AND ELECTRONIC SYSTEM | September 2022 | February 2026 | Allow | 42 | 4 | 0 | Yes | No |
| 17744472 | EPHEMERAL CONTENT MANAGEMENT | May 2022 | October 2024 | Allow | 29 | 0 | 0 | Yes | No |
| 17654174 | IMAGE CLASSIFICATION SYSTEM | March 2022 | September 2024 | Allow | 30 | 2 | 1 | Yes | No |
| 17669218 | METHOD AND DEVICE FOR RECONSTRUCTING IMAGE DATA FROM DECODED IMAGE DATA | February 2022 | July 2025 | Abandon | 41 | 4 | 0 | Yes | No |
| 17580079 | METHOD AND SYSTEM FOR IMAGE-BASED RESERVOIR PROPERTY ESTIMATION USING MACHINE LEARNING | January 2022 | September 2024 | Allow | 32 | 0 | 0 | Yes | No |
| 17571538 | SYSTEM AND METHOD FOR IMAGE COMPRESSION BASED ON MACHINE LEARNING | January 2022 | September 2024 | Allow | 32 | 0 | 0 | No | No |
| 17569560 | CONTROL DEVICE, PROJECTION SYSTEM, CONTROL METHOD, AND CONTROL PROGRAM | January 2022 | October 2024 | Allow | 33 | 0 | 0 | Yes | No |
| 17547680 | POLAR RELATIVE DISTANCE TRANSFORMER | December 2021 | July 2024 | Allow | 32 | 0 | 0 | No | No |
| 17547731 | FEATURE-FREE PHOTOGRAMMETRIC 3D IMAGING WITH CAMERAS UNDER UNCONSTRAINED MOTION | December 2021 | March 2025 | Allow | 39 | 2 | 0 | Yes | No |
| 17594923 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM | November 2021 | June 2025 | Abandon | 44 | 2 | 0 | No | No |
| 17499258 | Computer Vision Systems and Methods for Detecting and Modeling Features of Structures in Images | October 2021 | July 2024 | Allow | 33 | 2 | 0 | No | No |
| 17433941 | METHOD, DEVICE AND COMPUTER STORAGE MEDIUM FOR DATA ANALYSIS | August 2021 | July 2025 | Allow | 47 | 3 | 0 | Yes | No |
| 17429547 | TRAINING DATA GENERATION APPARATUS, METHOD AND PROGRAM | August 2021 | September 2025 | Abandon | 50 | 4 | 0 | Yes | No |
| 17424313 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD | July 2021 | August 2024 | Allow | 37 | 2 | 0 | Yes | No |
| 17373309 | TECHNIQUES FOR GENERATING IMAGES WITH NEURAL NETWORKS | July 2021 | January 2025 | Abandon | 42 | 4 | 0 | Yes | Yes |
| 17372090 | IMAGE CLASSIFICATION NEURAL NETWORKS | July 2021 | June 2024 | Allow | 36 | 4 | 0 | Yes | No |
| 17281781 | IMAGE GENERATION DEVICE, IMAGE GENERATION METHOD, AND LEARNED MODEL GENERATION METHOD | March 2021 | June 2025 | Allow | 50 | 3 | 0 | Yes | No |
| 17192973 | LEARNING METHOD, STORAGE MEDIUM, AND IMAGE PROCESSING DEVICE | March 2021 | January 2025 | Allow | 46 | 4 | 0 | Yes | No |
| 16359782 | CONVOLUTIONAL NEURAL NETWORKS WITH CONTENT-ADAPTIVE FILTERS | March 2019 | September 2025 | Allow | 60 | 6 | 1 | Yes | Yes |
| 15900275 | SYSTEM AND METHOD FOR TRACKING COHERENTLY STRUCTURED FEATURE DYNAMICALLY DEFINED WITH MIGRATORY MEDIUM | February 2018 | July 2019 | Allow | 16 | 1 | 0 | No | No |
| 15867701 | 3D MODELING METHOD BASED ON POINT CLOUD DATA | January 2018 | February 2020 | Allow | 25 | 1 | 0 | Yes | No |
| 15706610 | FAST JOINT TEMPLATE MATCHING | September 2017 | February 2019 | Allow | 17 | 0 | 0 | No | No |
| 15483047 | METHODS AND SYSTEMS FOR MANAGING IMAGES | April 2017 | March 2020 | Allow | 35 | 4 | 0 | No | No |
| 15517759 | METHOD AND DEVICE FOR ENCODING OR DECODING IMAGE BY MEANS OF VIEW MERGING PREDICTION | April 2017 | January 2019 | Allow | 22 | 1 | 0 | No | No |
| 15517539 | VIDEO CODING USING A SALIENCY MAP | April 2017 | August 2019 | Allow | 29 | 2 | 1 | Yes | No |
| 15380492 | TRACKING EYE RECOVERY | December 2016 | July 2018 | Allow | 19 | 2 | 0 | Yes | No |
| 15276967 | RATING APPLICATIONS BASED ON EMOTIONAL STATES | September 2016 | May 2017 | Allow | 7 | 1 | 0 | Yes | No |
| 15211644 | WEARABLE ELECTRONIC DEVICE HAVING A FINGERPRINT IDENTIFICATION DISPLAY | July 2016 | October 2018 | Allow | 27 | 1 | 2 | Yes | No |
| 14847189 | REFERENCE BASED SIZING | September 2015 | February 2016 | Allow | 6 | 1 | 0 | Yes | No |
| 14621223 | Apparatus for Recognizing Handwritten Notes | February 2015 | December 2017 | Allow | 34 | 2 | 0 | Yes | No |
| 14620238 | ON-THE-GO TOUCHLESS FINGERPRINT SCANNER | February 2015 | July 2016 | Allow | 17 | 0 | 0 | Yes | No |
| 14618800 | CAPACITIVE FINGERPRINT SENSOR AND FINGERPRINT SENSING METHOD THEREOF | February 2015 | June 2016 | Allow | 16 | 0 | 1 | Yes | No |
| 14565492 | Method of Quantifying Coverage of Extra Particulate Additives on the Surface of Toner Particles | December 2014 | February 2016 | Allow | 14 | 0 | 0 | Yes | No |
| 14563335 | METHOD AND DEVICE FOR EXTRACTING DISTORTED STRAIGHT LINE FROM IMAGE | December 2014 | January 2016 | Allow | 13 | 0 | 0 | Yes | No |
| 14537113 | Template Matching with Data Correction | November 2014 | August 2016 | Allow | 21 | 2 | 0 | Yes | No |
| 14142686 | IMAGE PROCESSING UTILIZING REFERENCE IMAGES | December 2013 | May 2018 | Allow | 53 | 4 | 1 | Yes | No |
| 14141610 | SYSTEM AND METHOD FOR ADAPTIVE DEPTH MAP RECONSTRUCTION | December 2013 | August 2016 | Allow | 31 | 2 | 1 | Yes | No |
| 14140991 | WEARABLE ELECTRONIC DEVICE HAVING A FINGERPRINT IDENTIFICATION DISPLAY | December 2013 | April 2016 | Allow | 27 | 2 | 0 | Yes | No |
| 14139227 | APPARATUS AND METHOD FOR IRIS IMAGE ANALYSIS | December 2013 | July 2015 | Allow | 19 | 0 | 0 | No | No |
| 14101366 | METHOD, INTERACTIVE DEVICE, AND COMPUTER READABLE MEDIUM STORING CORRESPONDING INSTRUCTIONS FOR RECOGNIZING USER BEHAVIOR WITHOUT USER TOUCHING ON INPUT PORTION OF DISPLAY SCREEN | December 2013 | January 2018 | Allow | 49 | 7 | 0 | Yes | No |
| 14030910 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD | September 2013 | January 2015 | Allow | 16 | 1 | 1 | Yes | No |
| 13799307 | ANNOTATING IMAGES | March 2013 | November 2015 | Allow | 32 | 1 | 0 | Yes | No |
| 13787830 | AUTO-CONVERGENCE SYSTEM WITH ACTIVE LEARNING AND RELATED METHOD AND MACHINE-READABLE MEDIUM THEREOF | March 2013 | December 2015 | Allow | 34 | 2 | 0 | No | No |
| 13786696 | BIOMETRIC IDENTIFICATION, AUTHENTICATION AND VERIFICATION USING NEAR-INFRARED STRUCTURED ILLUMINATION COMBINED WITH 3D IMAGING OF THE HUMAN EAR | March 2013 | March 2015 | Allow | 24 | 0 | 0 | Yes | No |
| 13772323 | Image Processing Method and Apparatus | February 2013 | September 2013 | Allow | 7 | 0 | 0 | Yes | No |
| 13812579 | METHOD FOR REDUCING IMAGE OR VIDEO NOISE | January 2013 | February 2015 | Allow | 24 | 0 | 1 | Yes | No |
| 13698169 | MULTISCALE MODULUS FILTER BANK AND APPLICATIONS TO PATTERN DETECTION, CLUSTERING, CLASSIFICATION AND REGISTRATION | November 2012 | October 2014 | Allow | 23 | 0 | 1 | No | No |
| 13523992 | Apparatus And Method To Automatically Distinguish Between Contamination And Degradation Of An Article | June 2012 | August 2016 | Allow | 50 | 3 | 0 | Yes | No |
| 13300615 | SYSTEM AND METHOD FOR PROCESSING IMAGE FILES OF AN ELECTRONIC DEVICE | November 2011 | March 2014 | Allow | 28 | 0 | 0 | No | No |
| 13101922 | METHOD FOR PERFORMING IMAGE PROCESSING APPLICATIONS USING QUADRATIC PROGRAMMING | May 2011 | February 2014 | Allow | 33 | 0 | 0 | Yes | No |
| 13065650 | Method and system for robust and flexible extraction of image information using color filter arrays | March 2011 | December 2014 | Allow | 45 | 0 | 1 | Yes | No |
| 13028653 | IMAGE RETRIEVAL USING TEXTURE DATA | February 2011 | July 2014 | Allow | 41 | 1 | 0 | No | No |
| 13028488 | BAND WEIGHTED COLOUR HISTOGRAMS FOR IMAGE RETRIEVAL | February 2011 | August 2014 | Allow | 42 | 1 | 1 | No | No |
| 12860300 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD,AND IMAGE PROCESSING PROGRAM | August 2010 | June 2013 | Allow | 33 | 0 | 0 | Yes | No |
| 12856971 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD | August 2010 | June 2013 | Allow | 34 | 0 | 0 | Yes | No |
| 12836988 | AUTOMATED VIDEO DATA FUSION METHOD | July 2010 | July 2013 | Allow | 36 | 0 | 1 | Yes | No |
| 12681366 | PIXEL PROCESSING | July 2010 | February 2013 | Allow | 35 | 0 | 0 | Yes | No |
| 12527344 | OVER-PARAMETERIZED VARIATIONAL OPTICAL FLOW METHOD | July 2010 | January 2013 | Allow | 41 | 0 | 0 | Yes | No |
| 12678285 | Image Data Processing And Arrangements Therefor | July 2010 | September 2013 | Allow | 42 | 1 | 1 | No | No |
| 12598552 | IMAGE REGISTRATION METHOD | April 2010 | October 2012 | Allow | 36 | 0 | 1 | No | No |
| 12659293 | UNDERLINE REMOVAL APPARATUS | March 2010 | January 2013 | Allow | 35 | 1 | 0 | No | No |
| 12673504 | IMAGE PROCESSING DEVICE, METHOD, AND PROGRAM | February 2010 | September 2012 | Allow | 31 | 0 | 0 | Yes | No |
| 12446760 | HIGH-RESOLUTION IMAGE GENERATION METHOD | April 2009 | November 2015 | Allow | 60 | 4 | 0 | Yes | No |
| 12427342 | METHOD AND SYSTEM FOR DETERMINISTIC DOCUMENT QUALITY ASSURANCE | April 2009 | September 2014 | Allow | 60 | 2 | 0 | Yes | No |
| 12221505 | Method for real-time implementable local tone mapping for high dynamic range images | August 2008 | July 2017 | Allow | 60 | 4 | 1 | No | Yes |
| 11999072 | Adaptive image up-scaling technique | December 2007 | October 2013 | Allow | 60 | 2 | 1 | Yes | No |
| 11902096 | Image enhancement method and system | September 2007 | September 2013 | Allow | 60 | 2 | 1 | Yes | No |
| 11752817 | Highlight Recovery Using Digital Lighting Module | May 2007 | April 2013 | Allow | 60 | 2 | 0 | Yes | No |
| 11752527 | IMAGE PROCESSING APPARATUS | May 2007 | January 2013 | Allow | 60 | 3 | 0 | Yes | No |
| 11617310 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PROVIDING MULTI-FEATURE BASED SAMPLING FOR RELEVANCE FEEDBACK | December 2006 | September 2013 | Allow | 60 | 4 | 0 | Yes | Yes |
| 11551733 | Digital Image Auto-Resizing | October 2006 | October 2014 | Allow | 60 | 4 | 0 | Yes | Yes |
| 11578986 | Image Data Processing Device, Image Data Processing Method, and Image Data Processing Program | October 2006 | August 2013 | Allow | 60 | 5 | 0 | Yes | No |
| 11492447 | Compressing image data | July 2006 | May 2015 | Allow | 60 | 6 | 0 | No | Yes |
| 11421273 | Method and System for Two-Dimensional and Three-Dimensional Inspection of a Workpiece | May 2006 | July 2014 | Allow | 60 | 6 | 0 | Yes | Yes |
| 11272300 | METHOD FOR ROBUST INVERSE TELECINE | November 2005 | November 2012 | Allow | 60 | 5 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ROZ, MARK.
With a 60.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 33.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner ROZ, MARK works in Art Unit 2675 and has examined 68 patent applications in our dataset. With an allowance rate of 95.6%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 35 months.
Examiner ROZ, MARK's allowance rate of 95.6% places them in the 85% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by ROZ, MARK receive 1.90 office actions before reaching final disposition. This places the examiner in the 46% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by ROZ, MARK is 35 months. This places the examiner in the 40% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +1.6% benefit to allowance rate for applications examined by ROZ, MARK. This interview benefit is in the 20% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 30.4% of applications are subsequently allowed. This success rate is in the 60% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 14.8% of cases where such amendments are filed. This entry rate is in the 16% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 12% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 54.5% of appeals filed. This is in the 26% percentile among all examiners. Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 80.0% are granted (fully or in part). This grant rate is in the 84% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 22% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 29% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.