9 results about "Internet television" patented technology

The invention relates to the technical field of poor quality positioning, and provides an Internet television program source poor quality positioning method and device. The method comprises the following steps: carrying out service dial testing on a program source data stream, and generating a program source potential quality abnormity alarm; carrying out soft probe acquisition on the program source quality data to generate a program source quality excellent rate; performing time sequence correlation on the program source potential quality abnormity alarm and the program source quality excellent rate, and identifying a program source poor quality event; performing simulation dial testing on the program source poor-quality event on the program source data stream to generate a program source poor-quality simulation result; and generating a program source poor quality positioning result based on the program source potential quality abnormity alarm, the program source quality excellent rate and the program source poor quality simulation result. According to the method and the device, the efficiency and the accuracy of poor quality positioning can be effectively improved, serious influence on user experience is avoided, and subsequent countermeasures can be abandoned when it is accurately determined that the user does not perceive poor quality of the program source actually, so that unnecessary resource waste is avoided.

1. The name of the design product: wisdom in the screen (TB-CE007). 2. The use of the design product: the product is used for wisdom in the screen, and the main functions are audio and video interaction, Internet television playing, smart home control, home security, office video conference, home network learning, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a method, device and equipment for detecting quality difference of a bearing network and a computer storage medium. The method comprises the following steps: determining the degrees of nodes in the bearing network, determining key performance indicators of the bearing network which affect Internet TV services, determining objective weights corresponding to the key performance indicators, performing secondary weighting correction on the objective weights according to preset subjective estimation weights to obtain modified weights, determining overall deviation degrees of the key performance indicators corresponding to a current node in each node, determining a target quality evaluation value of the current node according to the modified weights and the overall deviation degrees, and determining a comprehensive evaluation value of the current node on the quality difference of the Internet TV services according to the degrees of the nodes in the bearing network and the target quality evaluation value. The application can effectively evaluate the influence of the bearing network quality on the Internet TV services while saving costs.

This application relates to the fields of artificial intelligence and human-computer interaction technology, and discloses an internet TV voice interaction method, device, and related products. The method includes: recognizing user-input voice data to generate text data; processing the text data using a pre-trained intent recognition model to generate user intent; filtering multiple business processing agents based on the intent type and agent feature data of multiple business processing agents to obtain a target business processing agent; processing the text data using the target business processing agent to generate processing result data; and outputting the processing result data in voice, image / text, or video format. This application can significantly improve the semantic understanding ability of TV voice assistants, and by filtering multiple business processing agents according to intent type, accurately matching processing units to handle diverse tasks, ultimately achieving a more stable and efficient internet TV voice interaction effect.

The invention relates to the technical field of internet television services, in particular to an OTT advertisement optimization system based on a pointing behavior of a remote controller, which comprises a data acquisition module for distinguishing a cruising state, a staring state and a shaking state and extracting a user intention track by adopting a track processing algorithm based on speed and spatial-temporal clustering; the semantic analysis module is used for identifying advertisement creative elements by means of first frame analysis tracking and the like and generating advertisement semantic element map data; and the instruction generation module is used for performing space-time correlation mapping on the user intention track and a semantic map, calculating element attention scores including high-cost activation times and staring micro-motion amplitudes, finally generating a creative optimization instruction, and automatically adjusting the layout of advertisement creative elements. According to the method, refined, quantifiable and automatic OTT advertisement closed-loop optimization is realized.

The application relates to the technical field of Internet TV service, in particular to an OTT advertisement optimization system based on a remote controller pointing behavior, which comprises a data acquisition module, a trajectory processing algorithm based on speed and space-time clustering is adopted, cruise state, gaze state and jitter state are distinguished, and user intention trajectory is extracted; a semantic analysis module identifies advertisement creative elements through first frame analysis tracking and other means, and generates advertisement semantic element map data; an instruction generation module performs space-time correlation mapping on the user intention trajectory and the semantic map, calculates element attention score containing high-cost activation frequency and gaze micro-motion amplitude, finally generates creative optimization instructions, and automatically adjusts the layout of advertisement creative elements. The application realizes fine, quantifiable and automatic OTT advertisement closed-loop optimization.

1. The name of the design product: wisdom in the screen (E8-R). 2. The use of the design product: the product is used for wisdom in the screen, and the main functions are audio and video interaction, Internet television playing, smart home control, home security, office video conference, home network learning, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application provides a user loss early warning method and device, equipment and a storage medium, and relates to the technical field of user operation. The method comprises: obtaining behavior data and device attribute data of a target user at multiple historical times for an Internet TV system; obtaining user time sequence data of the target user according to the behavior data and the device attribute data at the multiple historical times; and predicting, by using a loss early warning model, a loss probability and a loss reason of the target user according to the user time sequence data. The application can accurately depict the gradual process of user behavior from active to recession, solve the problem that a static model cannot capture dynamic changes, realize early identification and accurate attribution of loss risk, and thus intervene in advance.