The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Precise geolocation is one of the fundamental requirements for satellite imagery to be suitable for climate applications. The Global Climate Observing System and the Committee on Earth Observing Satellites identified the requirement for the accuracy of geolocation of satellite data for climate applications as 1/3 field of view (FOV). This requirement for the series of the Advanced Very High Resolution...
In this work, we develop a fast binary partition tree based variable size video coding system. New adaptive algorithms proposed herein are applied to a video encoder with binary partition trees. First, to reduce the computation for block-matching, an adaptive search area method is described which adjusts the searching region according to the size of each block. Second, an early termination method...
An efficient block-matching (BM) method is proposed in this paper, which is a hybrid of full search (FS) and fast search block-matching algorithms (BMAs). The block-matching process is carried out in two stages. In the first stage, initial block-matching is applied to a few selected blocks in the frame using FS. To reduce computation, the search window size is adaptively adjusted based on the magnitude...
This paper presents a new adaptive Kalman filtering method to improve the performance of block-based motion estimation. In our work, measured motion vectors are obtained by a conventional block-matching algorithm (BMA). A first order autoregressive model is employed to fit the motion correlation between neighboring blocks and then to achieve the predicted motion information. To further improve the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.