Sentence examples similar to the scenes level from inspiring English sources

In the scene level, different colors indicate different categories.

In the scene level, we use a feature-based MRF model to recognize the scene categories.

This paper proposes the use of video scene identification and classification for traffic modeling at the scene level in order to improve resource allocation and user QoE in GEO satellite networks.

On the "scene" level of abstraction, the detection of scene similarity/overlap among videos provides a shared context among visual data that is robust to a certain class of scene dynamic content, e.g., we can associate different events recorded in a common setting through background co-occurrence (see Fig. 10).

We use graph-cut algorithm [27] to get the scene-level labeling result.

In the scene-level, we use a feature-based MRF model to recognize the categories.

The scene-level labeling gives a rough region of object category.

In the scene-level labeling, we use a feature-based MRF model to recognize categories in a scene.

For example, in Fig. 1, the scene-level semantic labeling tells us that this image shows person and horse in a natural scene.

Based on this framework we can integrate multiple features and design embeddings for large scale recognition directly in the scene-level space.

In contrast, the semantic multinomial (SMN) represents patches directly in the scene-level semantic space, which leads to ambiguity when aggregated to a global image representation.