Cesson-Sevigne, France

Maja Krivokuca

This inventor holds 1 USPTO granted patent. Top assignee: Interdigital Ce Patent Holdings, Sas. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maja Krivokuca. Retrieved from https://idiyas.com/inventor/maja-krivokuca-u2owjyvs

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Maja Krivokuca and Progressive Mesh Encoding

Introduction

Maja Krivokuca is an inventor associated with InterDigital CE Patent Holdings, SAS. Her patent work includes methods for encoding and reconstructing dynamic meshes progressively, using wavelet transforms and zerotree coding.

Latest Patents

Krivokuca is named on 1 patent: “Progressive Encoding and Adaptive Reconstruction of Dynamic Meshes Using Zerotree Coding.” The invention describes encoding displacement data that represents the spatial difference between a base mesh and a mesh being encoded. It transforms that data into wavelet coefficients at multiple resolution levels, then applies zerotree coding to produce a bitstream. For reconstruction, the bitstream is decoded and the wavelet coefficients are inverse-transformed to recover the displacement data.

Career Highlights

The patent reflects work on progressive mesh compression and reconstruction, techniques that can support the efficient transmission and recovery of dynamic three-dimensional models. Krivokuca’s listed company affiliation is InterDigital CE Patent Holdings, SAS.

Collaborations

The provided information lists Tomás Borges and Olivier Mocquard as coworkers. Their names are also associated with the patent’s collaborative technical context.

Conclusion

Maja Krivokuca’s patent contribution focuses on progressive encoding and adaptive reconstruction of dynamic meshes through wavelet and zerotree coding.

Profile summary based on public USPTO records.
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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