Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...

Facebook is open sourcing a new compression algorithm called Zstandard that aims to replace the common technology behind the Zip file format. The most common algorithm behind the Zip file format is ...

Suffix arrays serve as a fundamental tool in string processing by indexing all suffixes of a text in lexicographical order, thereby facilitating fast pattern searches, text retrieval, and genome ...

Today, Facebook is releasing its Zstandard compression algorithm into the wild as open source. The lossless compression technology is aimed at replacing existing libraries like zlib that are powered ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Google is looking to help application and Website ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Lossless data compression plays a vital role in addressing the growth in data volumes, real-time processing demands, and bandwidth constraints that modern systems face. Dr. Sotiropoulou will deliver ...

The amount of data that the big cloud computing providers now store is staggering, so it’s no surprise that most store all of this information as compressed data in some form or another — just like ...

Because video clips are made up of sequences of individual images, or “frames,” video compression algorithms share many concepts and techniques with still-image compression algorithms. Therefore, we ...

Algorithm promises faster data transfer speeds and reduced Web page load times by compressing content up to 8 percent smaller than zlib. Steven Musil is a senior news editor at CNET News. He's been ...

Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.