Technology areas: Computing & Software • Networking & Security • Communications
11 pending office actions • 9 art units • 11 examiners • 0 of 11 (0%) have an AI response strategy ready • 28 patents granted in the last 365 days
Gracenote Inc. has 10 pending office actions in Computing & Software. Each action is assigned to a distinct examiner, while the matters span 8 distinct art units. The profile therefore shows broad examiner dispersion with some repetition by technical classification.
PEREZ-ARROYO, RAQUEL is the busiest examiner, with 1 pending matter. Counsel should prioritize matter-specific review and use the art-unit groupings to coordinate related software issues. No examiner-level concentration is identified in the available data.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 1 (9%) |
| §101 + other | 1 (9%) |
| §103 only | 6 (55%) |
| Double-patenting only | 2 (18%) |
| No statute on record | 1 (9%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| PEREZ-ARROYO, RAQUEL | 1 | 58.8% | +30.5% |
| TOPGYAL, GELEK W | 1 | 59.6% | +19.3% |
| VY, HUNG T | 1 | 86.3% | +2.4% |
| SALL, EL HADJI MALICK | 1 | 91.2% | -8.3% |
| CHEN, XUEMEI G | 1 | 77.1% | +25.6% |
| BAKER, CHARLOTTE M | 1 | 92.7% | +0.3% |
| HE, JIALONG | 1 | 81.4% | +33.0% |
| MONIKANG, GEORGE C | 1 | 75.4% | +7.1% |
| NAZAR, AHAMED I | 1 | 53.9% | +31.4% |
| CASTRO, ALFONSO | 1 | 51.0% | +19.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19219713 | MULTIPLE STAGE INDEXING OF AUDIO CONTENT | VY, HUNG T | — |
| 19174801 | MACHINE-CONTROL OF A DEVICE BASED ON MACHINE-DETECTED TRANSITIONS | SALL, EL HADJI MALICK | — |
| 19029710 | Methods, apparatus, and articles of manufacture to identify sources of network streaming services | HE, JIALONG | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19082874 | Methods and Systems for Scoreboard Region Detection | CHEN, XUEMEI G | — |
| 17101512 | Vehicle-Based Media System with Audio Advertisement and External-Device Action Synchronization Feature | OSMAN BILAL AHMED, AFAF | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18548610 | Separating Media Content Into Program Segments and Advertisement Segments | CASTRO, ALFONSO | 41d |
| 19358007 | METHODS AND APPARATUS TO IDENTIFY MEDIA BASED ON HISTORICAL DATA | PEREZ-ARROYO, RAQUEL | — |
| 19276997 | Generating a Video Presentation to Accompany Audio | TOPGYAL, GELEK W | — |
| 19082874 | Methods and Systems for Scoreboard Region Detection | CHEN, XUEMEI G | — |
| 19029710 | Methods, apparatus, and articles of manufacture to identify sources of network streaming services | HE, JIALONG | — |
| 18503110 | INSERTING INFORMATION INTO PLAYING CONTENT | NAZAR, AHAMED I | — |
| Art Unit | Apps |
|---|---|
| 2169 | 1 |
| 2163 | 1 |
| 2457 | 1 |
| 2661 | 1 |
| 2664 | 1 |
| 2692 | 1 |
| 2178 | 1 |
| 2421 | 1 |
| 3622 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19358007 | METHODS AND APPARATUS TO IDENTIFY MEDIA BASED ON HISTORICAL DATA | PEREZ-ARROYO, RAQUEL | 2169 | §103 | Final Rejection | — | Pending | Oct 14, 2025 |
| 19276997 | Generating a Video Presentation to Accompany Audio | TOPGYAL, GELEK W | — | §103Other | Non-Final OA | — | Pending | Jul 22, 2025 |
| 19219713 | MULTIPLE STAGE INDEXING OF AUDIO CONTENT | VY, HUNG T | 2163 | §103Other | Final Rejection | — | Pending | May 27, 2025 |
| 19174801 | MACHINE-CONTROL OF A DEVICE BASED ON MACHINE-DETECTED TRANSITIONS | SALL, EL HADJI MALICK | 2457 | DP | Non-Final OA | — | Pending | Apr 09, 2025 |
| 19082874 | Methods and Systems for Scoreboard Region Detection | CHEN, XUEMEI G | 2661 | §101§103Other | Non-Final OA | — | Pending | Mar 18, 2025 |
| 19077705 | Automated Cropping of Images Using a Machine Learning Predictor | BAKER, CHARLOTTE M | 2664 | Other | Non-Final OA | — | Pending | Mar 12, 2025 |
| 19029710 | Methods, apparatus, and articles of manufacture to identify sources of network streaming services | HE, JIALONG | — | §103 | Non-Final OA | — | Pending | Jan 17, 2025 |
| 19021910 | Methods and Apparatus for Harmonic Source Enhancement | MONIKANG, GEORGE C | 2692 | DP | Non-Final OA | — | Pending | Jan 15, 2025 |
| 18503110 | INSERTING INFORMATION INTO PLAYING CONTENT | NAZAR, AHAMED I | 2178 | §103Other | Non-Final OA | — | Pending | Nov 06, 2023 |
| 18548610 | Separating Media Content Into Program Segments and Advertisement Segments | CASTRO, ALFONSO | 2421 | §103Other | Non-Final OA | 41d | Pending | Sep 01, 2023 |
| 17101512 | Vehicle-Based Media System with Audio Advertisement and External-Device Action Synchronization Feature | OSMAN BILAL AHMED, AFAF | 3622 | §101 | Final Rejection | — | Pending | Nov 23, 2020 |
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Start Free TrialGracenote Inc. has 11 pending office actions as of October 2026, spread across 9 art units and 11 examiners.
Raquel Perez-Arroyo has the most, with 1 of Gracenote Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
