Title :
An improved algorithm for video compression
Author :
Mihnea, Amalya ; Kalva, Hari
Author_Institution :
Dept. of Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
Abstract :
The use of permutations in data compression is an aspect that is worthy of further exploration. The work that has been done in video compression based on permutations was primarily oriented toward lossless algorithms. The study of previous algorithms has led to a new algorithm that could be either lossless or lossy, for which the amount of compression and the quality of the output can be controlled. The lossless version of our algorithm performs close to lossy versions of H.264 and it improves on them for the majority of the videos that we analyzed. Our algorithm could be used in situations where there is a need for lossless compression and the video sequences are part of a single scene, e.g., medical videos, where loss of information could be risky or expensive.
Keywords :
data compression; video coding; H.264 video coding; lossless algorithm; lossy algorithm; permutation method; video compression; video quality; Bit rate; Decoding; Frequency modulation; PSNR; Prediction algorithms; Sorting; Video sequences;
Conference_Titel :
Picture Coding Symposium (PCS), 2013
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4799-0292-7
DOI :
10.1109/PCS.2013.6737676