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Beijing Dajia Internet Information Technology Co., Ltd.

USPTO Granted Patents = 97

EPO Patents = 8

Forward Citations = 3

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32 inventors (with patents filed for the assignee):

Xianglin Wang (83 out of 337 patents)

Xiaoyu Xiu (80 out of 286 patents)

Bing Yu (77 out of 181 patents)

4. Yi-Wen Chen (76 out of 193 patents)

5. Hong-Jheng Jhu (61 out of 106 patents)

6. Wei Chen (60 out of 115 patents)

7. Che-Wei Kuo (43 out of 55 patents)

8. Ning Yan (39 out of 51 patents)

9. Tsung-Chuan Ma (20 out of 75 patents)

10. Hong-Jheng Jhu (16 out of 83 patents)

11. Che-Wei Kuo (12 out of 46 patents)

12. Han Gao (12 out of 137 patents)

13. Xiaoyu Xiu (12 out of 64 patents)

14. Xianglin Wang (12 out of 64 patents)

15. Yi-Wen Chen (12 out of 68 patents)

Core Competencies:

Video Coding

Motion Vector Prediction

Intra Prediction Modes

Optical Flow Refinement

Affine Merge Mode

Lossless Coding

Geometric Partitioning

Hybrid Neural Networks

Temporal Motion Vector

Syntax Signaling

Cross-Component Prediction

Chroma Coding

97 patents: Sort by Forward Citations

1. 12771875 - Residual and coefficients coding for video coding (2026-10-20),

2. 12771838 - Chroma coding enhancement in cross-component sample adaptive offset (2026-10-20),

3. 12764335 - Residual and coefficients coding for video coding (2026-10-13),

4. 12756860 - Methods and devices for motion storage in geometric partitioning mode (2026-10-06),

5. 12756857 - Methods and apparatuses for decoder-side motion vector refinement in video coding (2026-10-06),

6. 12756856 - Method and apparatus for cross-component prediction for video coding (2026-10-06),

7. 12750503 - Cross-component sample adaptive offset (2026-09-29),

8. 12744927 - Method and apparatus for cross-component prediction for video coding (2026-09-22),

9. 12744888 - Methods and devices for candidate derivation for affine merge mode in video coding (2026-09-22),

10. 12739387 - Methods and devices for prediction dependent residual scaling for video coding (2026-09-15),

11. 12732638 - Methods and apparatuses for signaling of syntax elements in video coding (2026-09-08),

12. 12732631 - Constrained and adjusted applications of combined inter- and intra-prediction mode (2026-09-08),

13. 12732617 - Methods and apparatuses for prediction refinement with optical flow (2026-09-08),

14. 12726614 - Constrained motion vector derivation for long-term reference pictures in video coding (2026-09-01),

15. 12720118 - Nonlocal loop filter for video coding (2026-08-25),

Company Overview

Beijing Dajia Internet Information Technology Co., Ltd. specializes in advanced video coding technologies, focusing on enhancing video compression and transmission efficiency. The company is engaged in the development of innovative solutions such as motion vector prediction, intra prediction modes, and optical flow refinement, which are critical for high-quality video streaming and processing. With a strong emphasis on hybrid neural networks and lossless coding techniques, Dajia is positioned at the forefront of the video technology landscape in China.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

97 Patents

#68 in Beijing

#346 in China

#7,987 in the World

Beijing Dajia Internet Information Technology Co., Ltd.

Forward Citations = 3

32 inventors:

Xianglin Wang (83 out of 337 patents)

Xiaoyu Xiu (80 out of 286 patents)

Bing Yu (77 out of 181 patents)

4. Yi-Wen Chen (76 out of 193 patents)

5. Hong-Jheng Jhu (61 out of 106 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Beijing Dajia Internet Information Technology Co., Ltd.. Retrieved from https://idiyas.com/company/beijing-dajia-internet-information-technology

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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