DocumentCode
557657
Title
Image database encoding using HYBRID video encoder
Author
Xiao, Jimin ; Tillo, Tammam ; Zhang, Xuan
Author_Institution
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
Volume
2
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
625
Lastpage
628
Abstract
How to compress a set of images in an efficient way is one of the most popular research topics. Currently, one of the most preferred standards for compressing still images is JPEG2000 which mainly utilizes Discrete Wavelet Transformation. The video compression standard AVC/H.264, however, can also be applied to compress a set of still images. It has been proved that H.264 Intra Mode has similar or even better compression performance than JPEG2000 in terms of PSNR. This paper proposes an innovative approach that mainly depends Inter Prediction Mode of H.264, to compress a set of still images. Considering different compression performances for different image sequences, this paper also proposes an algorithm to determine the optimal sequence of images that helps Inter Prediction Mode to gain better performance. Experimental results reveal that H.264 Inter Prediction Mode outperforms JPEG2000 in terms of PSNR. The gain of H.264 can be further enhanced when the sequence of images is rearranged according to the images sequencing algorithm proposed in this paper.
Keywords
data compression; discrete wavelet transforms; image sequences; video coding; visual databases; AVC-H.264; H.264 interprediction mode; HYBRID video encoder; JPEG2000; discrete wavelet transformation; image compression; image database encoding; image sequence algorithm; video compression standard; Correlation; Encoding; Image coding; Image sequences; PSNR; Prediction algorithms; Transform coding; H.264/AVC; Image sequence; Inter Prediction Mode;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9304-3
Type
conf
DOI
10.1109/CISP.2011.6100260
Filename
6100260
Link To Document