Ugc

The figure illustrates the structure of a content editor within the Unity game engine, as described in the paper "A Survey on Game Engine Content Editors." The content editor is a central component that manages various types of editors and resources within the Unity game engine. Here's a detailed breakdown of the figure: 1. **Unity and Blender Integration**: - At the top of the figure, there are two logos: Unity and Blender. These represent the primary software platforms used for creating and editing 3D content within Unity. 2. **General Editor**: - Below the logos, there is a box labeled "General Editor." This represents the overarching editor that handles all other types of editors within the Unity game engine. 3. **User-generated Content Editor**: - Directly connected to the General Editor box is another box labeled "User-generated Content Editor." This indicates that the General Editor can be used to manage user-generated content, which is a key feature of Unity's game engine. 4. **Content Editors**: - The General Editor box branches out into three different types of content editors, each represented by a separate box: - **Gameplay Editor**: This box is connected to the General Editor and represents editors specifically designed for creating game content. - **Resource Editor**: This box is also connected to the General Editor and represents editors that manage resources within the game engine. - **Plugin Editor**: This box is connected to the General Editor and represents editors that handle plugin-related content. 5. **Editor Types**: - Each of these three types of editors (Gameplay Editor, Resource Editor, and Plugin Editor) is further broken down into specific types: - **Gameplay Editor**: This type of editor is connected to the Gameplay Editor box and represents editors that are used for creating game content. - **Resource Editor**: This type of editor is connected to the Resource Editor box and represents editors

France, USA

The figure illustrates the evolution of a financial dataset over time, specifically from 2025 to 2030. The dataset is represented by a series of vertical bars, each corresponding to a year. The bars are color-coded in green and are arranged in ascending order from left to right, indicating the progression of time. At the top of each bar, there is a monetary value represented by a dollar sign ($). The values increase from left to right, showing an upward trend in the dataset. Specifically: - In 2025, the value is $61.32. - By 2030, the value has increased to $86.81. The figure also includes a label "B" next to the monetary value in 2025, which might indicate a specific category or type of data within the dataset. The overall message conveyed by the figure is that the financial dataset has grown significantly over the years, with a notable increase in value from 2025 to 2030.

The figure illustrates the results of a text line detection algorithm applied to an image. The image depicts a scene with a lamp, a book, and stars in the background. The algorithm has identified and highlighted specific lines within the image, which are labeled as "The sign" and "Before the in." The detected lines are shown in green, indicating the regions where text is likely to be present. This demonstrates the algorithm's capability to detect and outline text within complex scenes, even when it is not explicitly visible in the image.