The phrase "automatic frame" is correct and usable in written English.
It can be used in contexts related to technology, photography, or any system that operates without manual intervention.
Example: "The camera features an automatic frame that adjusts the shot based on the lighting conditions."
Alternatives: "self-adjusting frame" or "automated frame".
This involves rewriting algorithms to run on parallel processors, but should improve the efficiency of automatic frame recognition software.
In a similar vein, a collaboration with researchers at Lawrence Livermore Lab is working on increasing the speed of programs for automatic frame recognition, using inexpensive parallel processors which are commonly used for modern video gaming systems.
We will cover the basics of Frame Semantics, explain how the database was created, introduce the Python API and the state of the art in automatic frame semantic role labeling systems; and we will discuss FrameNet collaboration with commercial partners.
These techniques could be applied to find transition points, which can aid in manual interpretation of the results, or potentially be applied to direct automatic frame capture.
It was astonishingly small, fitting comfortably into one's hand, had a two-speed shutter, an automatic frame-counter and Berek's f3.5 Elmar lens (which collapsed into itself when not in use, making the camera even more compact).
"Journalists developed automatic framing protocols generations ago because of the need to report quickly," he said.
The company's Insta360 ONE already features automatic framing, free capture for HD resolution flat cropping and six-axis stabilization, so it seems like with FlowState Insta360 is hoping to up its game in these areas by easier to use and more effective.
Three key issues in automatic key frame extraction from construction videos are studied, including the selection of proper video features, scene segmentation, and key frame extraction.
This paper proposes a hierarchical multi-dimensional differential evolution (HMDDE) algorithm, which is an automatic computational frame work for the optimization of beta basis function neural network (BBFNN) wherein the neural network architecture, weights connection, learning algorithm and its parameters are adapted according to the problem.
Fatikow proposes an automatic control frame for the micro-object manipulation and positioning based on vision feedback, which greatly improves the working efficiency [33].
Thanks to the flexibility of designed automatic key-frame selection and the validness of feature-guided variational optical flow, the proposed method is applicable to various practical video sequences.
