Key-Point Sequence Lossless Compression for Intelligent Video Analysis
نویسندگان
چکیده
منابع مشابه
Lossless compression of video sequences
In this paper we investigate lossless compression schemes for video sequences A simple adaptive prediction scheme is presented that exploits temporal correlations or spectral correlations in addition to spatial correlations It is seen that even with motion compensation schemes that utilize only temporal correlations do not perform signif icantly better than schemes that utilize only spectral co...
متن کاملLossless Compression of Floating-Point Geometry
The geometric data sets found in scientific and industrial applications are often very detailed. Storing them using standard uncompressed formats results in large files that are expensive to store and slow to load and transmit. Many efficient mesh compression techniques have been proposed, but scientists and engineers often refrain from using them because they modify the mesh data. While connec...
متن کاملLossless compression of predicted floating-point geometry
The size of geometric data sets in scientific and industrial applications is constantly increasing. Storing surface or volume meshes in standard uncompressed formats results in large files that are expensive to store and slow to load and transmit. Scientists and engineers often refrain from using mesh compression because currently available schemes modify the mesh data. While connectivity is en...
متن کاملIntelligent and Lossless Data Compression for Arabic Documents
Information is the very most precious good in computer usage. Cleverly combined, and well kept, it allows a maximum profit from a computer. Unfortunately, it seems be in the nature of things that information becomes quickly very voluminous. In addition, available space memory seems always insufficient. We noted, also, an increase in the number of users and the time of use. Consequently, new pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE MultiMedia
سال: 2020
ISSN: 1070-986X,1941-0166
DOI: 10.1109/mmul.2020.2990863