TW201944783A - System and method for filtering television program - Google Patents

Abstract

The present invention provides a system and method for filtering television program. The method includes acquiring program content which broadcasted in predetermined duration before changing channels, and generating video mode by analyzing the program content. The method further includes determining whether the video mode appears in the broadcasting program, and prompting user to perform operations when the video mode appears in the broadcasting program. The present invention can filter the program which is not good for the user.

Description

TV program filtering system and method

The present invention relates to the field of information technology, and in particular, to a television program filtering system and method.

With the development of TV broadcasting and digital TV technology, watching TV has become a very important part of people's daily life. With the rapid development of television and communication technology, current smart TV systems are made to improve the user experience. For example, some smart TV systems can identify programs that suit user interests.

However, when a user watches a television program, there is a case where some content in the broadcasted television program is found to be inappropriate for the user. For example, too bloody pictures are not suitable for children to watch. Current smart TV systems cannot actively help users filter out inappropriate programs.

In view of the above, it is necessary to provide a TV program filtering system that can filter out content that users do not like or are not suitable for watching during the TV program playback.

In view of the above, it is necessary to provide a TV program filtering method, which can filter out content that users do not like or are not suitable for watching during TV program playback.

A television program filtering system running in a television, the system includes: an acquisition module for acquiring a program content played within a preset time before the television is turned to a station; an analysis module for analyzing the acquisition Taking program content captured by a module to generate a specific image model; a judging module for determining whether the specific image model appears in the broadcasted program when the television broadcasts the program; and a reminder module, It is used to prompt the user to perform related operations when the specific image model appears in the broadcasted program.

Preferably, the judgment module determines whether the specific video model appears in the broadcasted program by comparing whether the similarity between the broadcasted program content and the specific video model is greater than or equal to a preset value.

Preferably, the analysis module analyzes each picture in the program content within the preset time, and merges all similar pictures into a group to generate the specific image model.

Preferably, the related operations include changing channels or turning off the television.

Preferably, the analysis module analyzes the program content within the preset time by using a machine learning performance algorithm.

A television program filtering method applied to a television, the method includes: an acquisition step of acquiring a program content broadcasted in a preset time before the television is turned to a channel; an analyzing step of analyzing the content captured by the acquisition module Program content to generate a specific image model; a determining step, when the television broadcasts a program, determining whether the specific image model appears in the broadcast program; and a prompting step, when the specific image appears in the broadcast program When the model is used, the user is prompted to perform related operations.

Preferably, the determining step determines whether the specific video model appears in the broadcasted program by comparing whether the similarity between the broadcasted program content and the specific video model is greater than or equal to a preset value.

Preferably, the analyzing step analyzes each picture in the program content within the preset time, and merges all similar pictures into a group to generate the specific image model.

Preferably, the related operations include changing channels or turning off the television.

Preferably, the analyzing step analyzes the program content within the preset time by using a machine learning performance algorithm.

Compared with the conventional technology, the television program filtering system and method provided by the present invention can generate a specific image model based on the analysis of the television program content captured when the user changes channels, and the specific image appears in the television program that the user watches again In the video model, the program content is filtered out. This helps users filter out TV content that users do not want in a timely manner and improves user experience.

Please refer to FIG. 1, which shows an application environment diagram of a television program filtering system 10 according to an embodiment of the present invention. The television program filtering system 10 is applied to a television 1. The television 1 includes, but is not limited to, a display screen 11, a network unit 12, a memory 13, and a processor 14. The above-mentioned various components are electrically connected.

In this embodiment, the display screen 11 may have a touch function, such as a Liquid Crystal Display (LCD) display screen or an Organic Light-Emitting Diode (OLED) display screen. The display screen 11 is used to display the television program content broadcast by the television 1.

The network unit 12 is configured to provide a network communication function for the television 1 through a wired or wireless network transmission method. The wired network can be any type of traditional wired communication, such as the Internet or a local area network. The wireless network can be any type of traditional wireless communication, such as GPRS, Wi-Fi / WLAN, CDMA2000 / WCDMA / TD-SCDMA, LTE, etc.

In this embodiment, the memory 13 is used to store software programs and data installed in the television 1. In this embodiment, the memory 13 may be an internal storage unit of the television 1, such as a hard disk or a memory of the television 1. In other embodiments, the memory 13 may also be an external storage device of the TV 1, such as a plug-in hard disk, a Smart Media Card (SMC), and a secure digital ( Secure Digital (SD) card, Flash Card, etc. In this embodiment, a television program filtering system 10 is stored in the memory 13. The television program filtering system 10 is configured to generate a specific image model based on the analysis of the television program content captured when the user changes channels, and filter out the program when the specific image model appears in the television program that the user watches again content.

In this embodiment, the processor 14 may be a central processing unit, a microprocessor, or other data processing chip capable of executing the television program filtering system 10.

As shown in FIG. 2, the television program filtering system 10 may be divided into one or more modules, and the one or more modules are stored in the memory 13 and configured as one or more processes. (A processor 14 in this embodiment) is executed to complete the present invention. For example, the television program filtering system 10 is divided into an acquisition module 101, an analysis module 102, a determination module 103, and a prompt module 104. The module referred to in the present invention is a program segment capable of completing a specific function, which is more suitable than the program for describing the execution process of the software in the mobile terminal 1. The detailed functions of each module will be described in the flowchart of FIG. 3 later. Specific description.

As shown in FIG. 3, a flowchart of a television program filtering method according to a preferred embodiment of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted or combined.

In step S31, the capturing module 101 captures the program content broadcasted within a preset time before the television 1 is switched.

In this embodiment, the television 1 may be wirelessly connected to a remote controller (not shown in the figure) through the network unit 12, and a user may perform a turntable operation through the remote controller. When the television 1 receives the turntable information, the capture module 101 records the current turntable time, and captures the content of the program played within a preset time before the turntable. Assume that the current turntable time is T and the preset time is T1. Then, the capturing module 101 captures the program content in the time period from T-T1 to T. For example, when T1 = 3 seconds, the capturing module 101 captures the program content within 3 seconds before the turntable.

In step S32, the analysis module 102 is configured to analyze the program content captured by the capture module 101 to generate a specific image model.

In this embodiment, the analysis module 102 analyzes the program content within the preset time period using a machine learning algorithm to generate the specific image model. The analysis module 102 analyzes each picture in the program content within the preset time, and combines all similar pictures into a group to generate the specific image model.

In this embodiment, the analysis module 102 may also name the specific image model. For example, when a bloody scene appears in the program content, the analysis module 102 combines all the pictures similar to the bloody scene that appear in the preset time into a group to generate the specific image model, This particular image model is named a bloody picture. It may be understood that the analysis module 102 may not name the specific image model.

In step S33, when the television 1 plays a program, the judging module 103 determines whether the specific video model appears in the played program.

In this embodiment, the determination module 103 determines whether the specific image appears in the broadcast program by comparing whether the similarity between the broadcast program content and the specific image model is greater than a preset value. model. If the similarity between the broadcast program content and the specific video model is greater than or equal to a preset value, it means that the specific video model appears in the broadcast program, and the flow proceeds to step S34; The similarity between the specific image models is less than a preset value, indicating that the specific image model does not appear in the broadcast program, and the flow returns to step S31.

In step S34, when the specific video model appears in the broadcast program, the prompt module 104 prompts the user to perform related operations.

In this embodiment, the prompt module 104 provides a user interface on the display screen 11 for the user to select related operations. The related operations include operations that can filter the specific image model, such as changing channels or turning off the television 1. If the similarity between the broadcasted program content and the specific video model is greater than or equal to a preset value, it means that the program content played by the TV 1 is a program content that the user does not like or is not suitable for viewing, and the user needs to filter the Program content.

The above embodiments are only used to illustrate the technical solution of the present invention and are not limiting. Although the present invention has been described in detail with reference to the above preferred embodiments, those skilled in the art should understand that the technical solution of the present invention may be modified or equivalently replaced. All should not depart from the spirit and scope of the technical solution of the present invention.

1‧‧‧ TV

11‧‧‧display

12‧‧‧ Network Unit

13‧‧‧Memory

14‧‧‧ processor

10‧‧‧ TV program filtering system

101‧‧‧ Capture Module

102‧‧‧analysis module

103‧‧‧Judgment Module

104‧‧‧Tip Module

FIG. 1 is an application environment diagram of a preferred embodiment of a television program filtering system of the present invention. FIG. 2 is a functional module diagram of a preferred embodiment of the television program filtering system of the present invention. FIG. 3 is a flowchart of a preferred embodiment of a method for filtering a television program according to the present invention.

Claims (10)

A television program filtering system running in a television, the system includes: an acquisition module for acquiring a program content played within a preset time before the television is turned to a station; an analysis module for analyzing the acquisition Taking program content captured by a module to generate a specific image model; a judging module for determining whether the specific image model appears in the broadcasted program when the television broadcasts the program; and a reminder module, It is used to prompt the user to perform related operations when the specific image model appears in the broadcasted program. According to the television program filtering system described in the first item of the patent application scope, the judgment module determines whether the broadcast is based on whether the similarity between the broadcasted program content and the specific video model is greater than or equal to a preset value. Whether the specific image model appears in the program of. According to the television program filtering system described in item 1 of the scope of patent application, the analysis module analyzes each picture in the program content within the preset time, and merges all similar pictures into a group to generate The specific image model. According to the television program filtering system described in item 1 of the scope of patent application, the related operations include changing channels or turning off the television. According to the television program filtering system described in the third item of the patent application scope, the analysis module analyzes the program content within the preset time by using a machine learning algorithm. A television program filtering method applied to a television, the method includes: an acquisition step of acquiring a program content broadcasted in a preset time before the television is turned to a channel; an analyzing step of analyzing the content captured by the acquisition module Program content to generate a specific image model; a determining step, when the television broadcasts a program, determining whether the specific image model appears in the broadcast program; and a prompting step, when the specific image appears in the broadcast program When the model is used, the user is prompted to perform related operations. According to the television program filtering method described in claim 6 of the scope of patent application, the judging step determines whether the content of the broadcast Whether the specific video model appears in the program. According to the television program filtering method described in the patent application item 6, the analysis step analyzes each picture in the program content within the preset time, and merges all similar pictures into a group to generate the The specific image model is described. According to the television program filtering method described in item 6 of the scope of patent application, the related operations include changing channels or turning off the television. According to the television program filtering method according to item 8 of the scope of the patent application, the analyzing step analyzes the program content within the preset time by using a machine learning performance algorithm.