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https://academic.oup.com/bioinformatics/article/27/21/2979/217176
Sep 05, 2011 · Unfortunately, the results presented in the cited work are incoherent (which is not clearly admitted in the paper): the given compression ratios refer to sole archives, with no random access support, while the display timings are obtained with partially decompressed (in RAM) data structures, so the actual memory use during query handling is by 50–75% greater than the size of the archive plus the random access helper …Cited by: 98
http://maptools-org.996276.n3.nabble.com/Request-help-On-OJPEG-Compression-In-Libtiff-td619.html
RE: Request help On OJPEG Compression In Libtiff 1) Don't do that 2) REALLY, don't do that -- the old JPEG encoding is rarely supported (I'm sorely tempted to add a more severe note to Photoshop when encountering them to say that the file is buggy and the user needs to …
http://ticki.github.io/blog/on-random-access-compression/
Oct 23, 2016 · A number of limitations are in this algorithms. The first and most obvious one is the limitation on the compression ratio. This is a minor one: it limits the ratio to maxmially slightly less than 1:8. A more important limitation is fragmentation.
https://www.researchgate.net/publication/4284568_A_Universal_Algorithm_for_Random-Access_Compression_and_Applications_for_Annotated_DNA_Sequences
A Universal Algorithm for Random-Access Compression and Applications for Annotated DNA Sequences Conference Paper (PDF Available) · July 2007 with 28 Reads How we measure 'reads'
https://stackoverflow.com/questions/28847570/how-to-do-compression-that-allows-random-read-access-to-the-compressed-data
Mar 04, 2015 · I'm writing out small, variable size frames (from 15 to maybe 4k bytes each) of real time data to a file. The total size of the data can go into the tens of gigabytes, so I want to compress it. Bu...
https://stackoverflow.com/questions/12535082/practical-compression-of-random-data
If the data is truly random, on average no compression algorithm can compress it. But if the data has some predictable patterns (for e.g. if the probability of a symbol is dependent on the previous k-symbols occurring in the data), many (prediction-based) compression algorithms will succeed.
https://github.com/invertedtomato/integer-compression
Algorithms. The example in the TLDR section used the Fibonacci codec. Whilst this codec is excellent for small numbers, it's not so great when numbers get larger. You really need to select a codec with your domain in mind. Following is a summary of the codecs available, their strengths and weaknesses.
https://www.asmail.be/msg0055325096.html
> JPEGSetupEncode: PhotometricInterpretation 3 not allowed for JPEG It is not possible to use paletted images with JPEG compression. But you can convert that image to RGBA (using TIFFRGBAImage interface) and compress afterwards. > test.tif: Compression algorithm does not support random access.
https://quizlet.com/15194041/itc-chap-10-flash-cards/
Start studying ITC chap 10. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Search. ... Sequential access c. Random access b. Hashing d. Collision. ... ____ are more compact and faster to access because the system does not have to convert the data. a. Binary files c. Hash files b. Sequential files d. Random files
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