Here is the best article on the topic background scenes. That is compiled by https://www.passion-citroen.com
1. Custom Together Mode Scenes – Teams
- Author: learn.microsoft.com
- Date Submitted: 01/11/2019 09:05 AM
- Average star voting: (4.77/5 stars and 42297 reviews)
- Summary: Work with custom Together Mode scenes
- Match with the search results: Aug 10, 2022 … A scene only app is still an app in Teams. The Scene studio handles the app package creation in the background. Multiple scenes in a single …
2. Facial Expressions in Context: Electrophysiological Correlates of the Emotional Congruency of Facial Expressions and Background Scenes
- Author: www.frontiersin.org
- Date Submitted: 10/11/2021 07:10 AM
- Average star voting: (4.0/5 stars and 68275 reviews)
- Summary: Facial expressions can display personal emotions and indicate an individual’s intentions within a social situation. They are extremely important to the social interaction of individuals. Background scenes in which faces are perceived provide important contextual information for facial expression processing. The purpose of this study was to explore the time course of emotional congruency effects in processing faces and scenes simultaneously by recording event-related potentials (ERPs). The behavioral results found that the categorization of facial expression was faster and more accurate when the face was emotionally congruent than incongruent with the emotion displayed by the scene. In ERPs the late positive potential (LPP) amplitudes were modulated by the emotional congruency between faces and scenes. Specifically, happy faces elicited larger LPP amplitudes within positive than within negative scenes and fearful faces within negative scenes elicited larger LPP amplitudes than within positive scenes. The results did not find the scene effects on the P1 and N170 components. These findings indicate that emotional congruency effects could occur in late stages of facial expression processing, reflecting motivated attention allocation.
- Match with the search results: Nov 29, 2017 … Background scenes in which faces are perceived provide important contextual information for facial expression processing. The purpose of this …
3. Target detection increases pupil diameter and enhances memory for background scenes during multi-tasking | Scientific Reports
- Author: www.nature.com
- Date Submitted: 07/26/2020 10:51 PM
- Average star voting: (3.87/5 stars and 82189 reviews)
- Summary: Attending to targets in a detection task can facilitate memory for concurrently presented information, a phenomenon known as the attentional boost effect. One account of the attentional boost suggests that it reflects the temporal selection of behaviorally relevant moments, broadly facilitating the processing of information encountered at these times. Because pupil diameter increases when orienting to behaviorally relevant events and is positively correlated with increases in gain and activity in the locus coeruleus (a purported neurophysiological mechanism for temporal selection), we tested whether the attentional boost effect is accompanied by an increase in pupil diameter. Participants memorized a series of individually presented scenes. Whenever a scene appeared, a high or low pitched tone was played, and participants counted (and later reported) the number of tones in the pre-specified, target pitch. Target detection enhanced later memory for concurrently presented scenes. It was accompanied by a larger pupil response than was distractor rejection, and this effect was more pronounced for subsequently remembered rather than forgotten scenes. Thus, conditions that produce the attentional boost effect may also elicit phasic changes in neural gain and locus coeruleus activity.
- Match with the search results: Mar 27, 2019 … Participants memorized a series of individually presented scenes. … and enhances memory for background scenes during multi-tasking.

4. Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model
- Author: www.hindawi.com
- Date Submitted: 10/26/2019 11:10 AM
- Average star voting: (4.47/5 stars and 36088 reviews)
- Summary: Moving object detection in video streams is the first step of many computer vision applications. Background modeling and subtraction for moving detection is the most common technique for detecting, while how to detect moving objects correctly is still a challenge. Some methods initialize the background model at each pixel in the first N frames. However, it cannot perform well in dynamic background scenes since the background model only contains temporal features. Herein, a novel pixelwise and nonparametric moving object detection method is proposed, which contains both spatial and temporal features. The proposed method can accurately detect the dynamic background. Additionally, several new mechanisms are also proposed to maintain and update the background model. The experimental results based on image sequences in public datasets show that the proposed method provides the robustness and effectiveness in dynamic background scenes compared with the existing methods.
- Match with the search results: However, it cannot perform well in dynamic background scenes since the background model only contains temporal features. Herein, a novel pixelwise and …

5. Microsoft Improves Teams Together Mode with New Background Scenes – Office 365 for IT Pros
- Author: office365itpros.com
- Date Submitted: 12/09/2020 05:47 PM
- Average star voting: (4.3/5 stars and 91231 reviews)
- Summary: Together Mode is a more immersive way to present participants in a Teams meeting. The original theater scene is being augmented with new scenes.
- Match with the search results: Nov 11, 2020 … Together Mode is a more immersive way to present participants in a Teams meeting. The original theater scene is being augmented with new …

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