Company Filing History:
Years Active: 2005-2014
Title: Martin Russ: Innovator in Media Composition Technology
Introduction
Martin Russ is a notable inventor based in Ipswich, GB. He has made significant contributions to the field of media composition technology, holding a total of 3 patents. His work focuses on automating the creation of media articles using advanced metadata techniques.
Latest Patents
One of Martin Russ's latest patents is titled "Automatic media article composition using previously written and recorded media object relationship data." This innovation involves associating metadata with media elements in a content store during the automatic composition of media articles. The metadata includes relationship data that indicates how the portrayed media elements relate to one another. This allows for the generation of media articles without the need for a detailed framework.
Another significant patent is for a "Computer apparatus" that utilizes a database to provide persistent storage of metadata describing the content of media files. This metadata is crucial for creating personalized media articles from those files. The apparatus improves the efficiency of media article creation by caching media element metadata items and pre-fetching related data items, enhancing the overall usefulness of the cache.
Career Highlights
Throughout his career, Martin Russ has worked with prominent organizations, including British Telecommunications Public Limited Company and British Telecommunications Corporation. His experience in these companies has contributed to his expertise in media technology and innovation.
Collaborations
Martin has collaborated with notable individuals in his field, including Ian Christopher Kegel and Jeremy M Thorne. These collaborations have likely enriched his work and led to further advancements in media composition technology.
Conclusion
Martin Russ is a distinguished inventor whose work in media composition technology has paved the way for innovative solutions in the industry. His patents reflect a deep understanding of metadata and its application in automating media article creation.