Abstract: Techniques are disclosed for allowing remote participation in collaborative video review based on joint state data, for a video collaboration session, maintained by a video collaboration service. A user at a participant client device may provide one or more annotations, such as a drawing annotation, for the video data via a client application. The client application transmits computer-readable instructions for re-creating the drawing annotation to the service, which distributes the drawing instructions to the other participant client devices. Using the drawing instructions, the client applications at the client devices are configured to re-create the drawing annotation on the associated video frame displayed at the client devices. The joint state data communicated to client devices for a given session may include co-presence data that efficiently increases communication among the participants in a session.

Abstract: Techniques are disclosed for allowing remote participation in collaborative video review based on joint state data, for a video collaboration session, maintained by a video collaboration service. A user at a participant client device may provide one or more annotations, such as a drawing annotation, for the video data via a client application. The client application transmits computer-readable instructions for re-creating the drawing annotation to the service, which distributes the drawing instructions to the other participant client devices. Using the drawing instructions, the client applications at the client devices are configured to re-create the drawing annotation on the associated video frame displayed at the client devices. The joint state data communicated to client devices for a given session may include co-presence data that efficiently increases communication among the participants in a session.

Abstract: Techniques are disclosed for dynamically generating a data set representative of search results in response to a query and using the data set to accurately rank search results in response to a domain specific search query. Upon receiving the search query, features of the query and features of each search result are extracted. A relevance ranking may be assigned to each search result based on a comparison of the features of the query and each search result. The relevance ranking of each search result may be adjusted based on metrics related to user interactions. A data set may be created which includes the query, search results, extracted features, and metrics. The data set may be used to train a machine learning model to accurately determine a ranking of search results in response to a subsequent search query.

Abstract: Techniques are disclosed for allowing remote participation in collaborative video review based on joint state data, for a video collaboration session, maintained by a video collaboration service. A user at a participant client device may provide one or more annotations, such as a drawing annotation, for the video data via a client application. The client application transmits computer-readable instructions for re-creating the drawing annotation to the service, which distributes the drawing instructions to the other participant client devices. Using the drawing instructions, the client applications at the client devices are configured to re-create the drawing annotation on the associated video frame displayed at the client devices. The joint state data communicated to client devices for a given session may include co-presence data that efficiently increases communication among the participants in a session.

Abstract: Techniques are disclosed for avoiding conflicting user actions while the users synchronously participate in collaborative video review based on joint state data for a video collaboration session. User actions may conflict, e.g., when a user submits a video playback instruction to change the current frame of the session while another user is performing a frame-specific action on the current frame. The video collaboration service freezes the current frame in joint state data based on detecting that a frame-specific action is being performed or is likely imminent. Detecting a freeze condition may be implicit or explicit. In order to unfreeze the current frame of the joint state data, no active freeze conditions may be in effect. Further, the freeze condition may be lifted implicitly or explicitly. A visual video freeze indication may be displayed by one or more client applications participating in the session while a freeze condition is active.

Abstract: Techniques are disclosed for avoiding conflicting user actions while the users synchronously participate in collaborative video review based on joint state data for a video collaboration session. User actions may conflict, e.g., when a user submits a video playback instruction to change the current frame of the session while another user is performing a frame-specific action on the current frame. The video collaboration service freezes the current frame in joint state data based on detecting that a frame-specific action is being performed or is likely imminent. Detecting a freeze condition may be implicit or explicit. In order to unfreeze the current frame of the joint state data, no active freeze conditions may be in effect. Further, the freeze condition may be lifted implicitly or explicitly. A visual video freeze indication may be displayed by one or more client applications participating in the session while a freeze condition is active.

Abstract: Techniques are disclosed for dynamically generating a data set representative of search results in response to a query and using the data set to accurately rank search results in response to a domain specific search query. Upon receiving the search query, features of the query and features of each search result are extracted. A relevance ranking may be assigned to each search result based on a comparison of the features of the query and each search result. The relevance ranking of each search result may be adjusted based on metrics related to user interactions. A data set may be created which includes the query, search results, extracted features, and metrics. The data set may be used to train a machine learning model to accurately determine a ranking of search results in response to a subsequent search query.

Abstract: Techniques are disclosed for dynamically generating a data set representative of search results in response to a query and using the data set to accurately rank search results in response to a domain specific search query. Upon receiving the search query, features of the query and features of each search result are extracted. A relevance ranking may be assigned to each search result based on a comparison of the features of the query and each search result. The relevance ranking of each search result may be adjusted based on metrics related to user interactions. A data set may be created which includes the query, search results, extracted features, and metrics. The data set may be used to train a machine learning model to accurately determine a ranking of search results in response to a subsequent search query.