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News and Events
Boston MA - September 4, 2007 – 1stWorks Corporation, a leader in real time communications software and data compression technology, has been granted a U.S. patent for its work in Modeling for Enumerative Encoding, empowering its Quantized Indexing algorithm, a faster and more efficient form of entropy coding. Invented by 1stWorks Chief Scientist Ratko Tomic, Quantized Indexing is the first practical form of data compression to apply the mathematical discipline of enumerative combinatorics to entropy coding and modeling, delivering demonstrably superior performance in both efficiency and speed over the best arithmetic coder alternatives currently available. In large scale search and data base applications, Quantized Indexing provides unique advantages over alternative compression methods in coding bitmap indices, mixed radix codes, such as permutations, and other search metadata which are encountered in large data bases and data warehouses. In addition to its speed and efficiency gains, the stability and predictability of the encoded size of the data permits optimal packaging into fixed size fields, for serializing complex data into separately compressed components more suitable for fast random access without the need to expand other intervening data. In audio and video applications, Quantized Indexing is particularly valuable for efficiently coding small blocks of data, reducing the compressed output size by as much as 50% while still remaining highly responsive to rapidly changing symbol statistics. Quantized Indexing also reduces the computational complexity of data compression in all applications, resulting in faster execution on all processors. The speed advantage, dependent only on the entropy of the data itself, ranges from a minimum of 5 times to more than 100 times faster. These speed gains are further improved when using the lower powered processors typical of battery driven devices like cell phones, PDAs and digital cameras, while the reductions in processor load provide improved battery performance and extended battery life. By virtue of its cleaner architectural separation of processing tasks, Quantized Indexing is also far more suitable for data compression implementations using parallel processing. The full text of the Modeling for Enumerative Encoding patent, U.S. 7.265.691, can be found at www.uspto.gov by searching for that patent number under Issued Patents. More detailed information about Quantized indexing, including technical reports, test results and sample source code for research and evaluation purposes, can be found at www.1stworks.com/ref/qi.htm About 1stWorks Corp. 1stWorks Corporation is a real-time software communications company with solutions for secure collaboration, conferencing and multimedia content delivery, incorporating its patent pending data compression technology. 10,000 customers around the world in more than 70 countries already use its hotComm software platform. 1stWorks was founded in 2000 by executives from several earlier successful companies, including Alloy Computer Products, Microsystems Software, and Fast Engines. It is headquartered in the Boston area. More information can be found at http://www.1stworks.com. ###
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