Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: Motion detection computing devices may have difficulty determining precise motions of a user who suffers from unintended movement, such as tremors, associated with a physical or medical condition. Aspects described herein relate to motion compensation for detected motion input, e.g., 3D motion, from such users. As described herein, a system may detect the presence of rhythmic motion and/or other input characteristics within captured motion input from a user. The system may determine one or more filters to apply to the captured motion input based on the rhythmic motion, other input characteristics, and/or information in a user profile. The one or more filters may be applied to the captured motion input in order to suppress or minimize the effects of the rhythmic motion and/or other input characteristics thereby resulting in an enhanced user experience in an interactive system, such as a 3D, virtual and/or augmented reality environment.

Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: Motion detection computing devices may have difficulty determining precise motions of a user who suffers from unintended movement, such as tremors, associated with a physical or medical condition. Aspects described herein relate to motion compensation for detected motion input, e.g., 3D motion, from such users. As described herein, a system may detect the presence of rhythmic motion and/or other input characteristics within captured motion input from a user. The system may determine one or more filters to apply to the captured motion input based on the rhythmic motion, other input characteristics, and/or information in a user profile. The one or more filters may be applied to the captured motion input in order to suppress or minimize the effects of the rhythmic motion and/or other input characteristics thereby resulting in an enhanced user experience in an interactive system, such as a 3D, virtual and/or augmented reality environment.

Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: Motion detection computing devices may have difficulty determining precise motions of a user who suffers from unintended movement, such as tremors, associated with a physical or medical condition. Aspects described herein relate to motion compensation for detected motion input, e.g., 3D motion, from such users. As described herein, a system may detect the presence of rhythmic motion and/or other input characteristics within captured motion input from a user. The system may determine one or more filters to apply to the captured motion input based on the rhythmic motion, other input characteristics, and/or information in a user profile. The one or more filters may be applied to the captured motion input in order to suppress or minimize the effects of the rhythmic motion and/or other input characteristics thereby resulting in an enhanced user experience in an interactive system, such as a 3D, virtual and/or augmented reality environment.

Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: Motion detection computing devices may have difficulty determining precise motions of a user who suffers from unintended movement, such as tremors, associated with a physical or medical condition. Aspects described herein relate to motion compensation for detected motion input, e.g., 3D motion, from such users. As described herein, a system may detect the presence of rhythmic motion and/or other input characteristics within captured motion input from a user. The system may determine one or more filters to apply to the captured motion input based on the rhythmic motion, other input characteristics, and/or information in a user profile. The one or more filters may be applied to the captured motion input in order to suppress or minimize the effects of the rhythmic motion and/or other input characteristics thereby resulting in an enhanced user experience in an interactive system, such as a 3D, virtual and/or augmented reality environment.

Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: Motion detection computing devices may have difficulty determining precise motions of a user who suffers from unintended movement, such as tremors, associated with a physical or medical condition. Aspects described herein relate to motion compensation for detected motion input, e.g., 3D motion, from such users. As described herein, a system may detect the presence of rhythmic motion and/or other input characteristics within captured motion input from a user. The system may determine one or more filters to apply to the captured motion input based on the rhythmic motion, other input characteristics, and/or information in a user profile. The one or more filters may be applied to the captured motion input in order to suppress or minimize the effects of the rhythmic motion and/or other input characteristics thereby resulting in an enhanced user experience in an interactive system, such as a 3D, virtual and/or augmented reality environment.