Video advertisement filtering method, apparatus and device

• US 10,356,487 B2
• Filed: 12/18/2014
• Issued: 07/16/2019
• Est. Priority Date: 09/09/2014
• Status: Active Grant

• Current Assignee: Baidu Online Network Technology (Beijing) Co., Ltd (Baidu Incorporated)
• Original Assignee: Baidu Online Network Technology (Beijing) Co., Ltd (Baidu Incorporated)
• Inventors: Xiong, Zefa
• Primary Examiner(s): Marandi, James R
• Application Number:
  US15/115,584
• Publication Number:
  US 20180176658A1
• Time in Patent Office: 1,671 Days
• Field of Search: None
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/454 Content or additional data filtering, e.g. blocking advertisements
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments

Abstract

Disclosed in embodiments of the present invention are a video advertisement filtering method, apparatus and device. The video advertisement filtering method includes: recognizing a time count number in a time count area of an advertisement frame in a video; determining a time difference between advertisement broadcast end time and present time based on the recognized time count number; and advancing playing time of the video to the advertisement broadcast end time based on the time difference. The video advertisement filtering method, apparatus and device that are provided in the embodiments of the present invention can filter an inserted video advertisement from a video program.

Claims

1. A method for filtering a video advertisement, comprising:

determining, by using a video frame recognition algorithm, whether a presently displayed frame in a video comprising a time count area displayed along with the frame, and affirming the presently displayed frame in the video being an advertisement frame in response to the presently displayed frame in the video comprising the time count area displayed along with the frame;

identifying a time count number in the time count area displayed along with the presently displayed advertisement frame in the video;

determining a time difference between an advertisement broadcast end time and a present time based on the identified time count number; and

automatically advancing playing time of the video to the advertisement broadcast end time based on the time difference.

2. The method of claim 1, wherein determining the time difference between the advertisement broadcast end time and the present time based on the identified time count number comprises:

using the identified time count number in the time count area at the present time as the time difference between the advertisement broadcast end time and the present time.

3. The method of claim 1, wherein determining the time difference between the advertisement broadcast end time and the present time based on the identified time count number comprises:

determining whether the time count number is a countdown number based on values of the time count numbers at the present time and a reference time in the time count area and an order of the present time and the reference time; and

using the time count number at the present time as the time difference between the advertisement broadcast end time and the present time where the time count number is a countdown number.

4. The method of claim 1, wherein identifying the time count number in the time count area displayed along with the presently displayed advertisement frame in the video comprises:

identifying the time count number in the time count area displayed along with the presently displayed advertisement frame in the video by using a text recognition algorithm.

5. A video advertisement filtering device comprising at least one processor, a memory, and at least one computer program, the at least one computer program being stored in the memory and configured to be executed by the at least one processor, wherein the computer program comprises instructions for causing the at least one processor to perform:

determining, by using a video frame recognition algorithm, whether a presently displayed frame in a video comprising a time count area displayed along with the frame, and affirming the presently displayed frame in the video being an advertisement frame in response to the frame in the video comprising the time count area displayed along with the frame;

identifying a time count number in the time count area displayed along with the presently displayed advertisement frame in the video;

determining a time difference between an advertisement broadcast end time and a present time based on the identified time count number; and

automatically advancing playing time of the video to the advertisement broadcast end time based on the time difference.

6. The device of claim 5, wherein determining the time difference between the advertisement broadcast end time and the present time based on the identified time count number comprises:

using the identified time count number in the time count area at the present time as the time difference between the advertisement broadcast end time and the present time.

7. The device of claim 5, wherein determining the time difference between the advertisement broadcast end time and the present time based on the identified time count number comprises:

determining whether the time count number is a countdown number based on values of the time count numbers at the present time and a reference time in the time count area and an order of the present time and the reference time; and

using the time count number at the present time as the time difference between the advertisement broadcast end time and the present time where the time count number is a countdown number.

8. The device of claim 5, wherein identifying the time count number in the time count area displayed along with the presently displayed advertisement frame in the video comprises:

identifying the time count number in the time count area displayed along with the currently displayed advertisement frame in the video by using a text recognition algorithm.

9. A non-transitory computer storage medium storing computer program comprising instructions, which, when executed by one or more computers, cause the one or more computers to perform:

determining, by using a video frame recognition algorithm, whether a presently displayed frame in a video comprising a time count area displayed along with the frame, and affirming the presently displayed frame in the video being an advertisement frame in response to the presently displayed frame in the video comprising the time count area displayed along with the frame;

identifying a time count number in the time count area displayed along with the presently displayed advertisement frame in the video;

determining a time difference between an advertisement broadcast end time and a present time based on the identified time count number; and

automatically advancing playing time of the video to the advertisement broadcast end time based on the time difference.

10. The non-transitory computer storage medium of claim 9, wherein determining the time difference between the advertisement broadcast end time and the present time based on the identified time count number comprises:

using the identified time count number in the time count area at the present time as the time difference between the advertisement broadcast end time and the present time.

11. The non-transitory computer storage medium of claim 9, wherein determining the time difference between the advertisement broadcast end time and the present time based on the identified time count number comprises:

determining whether the time count number is a countdown number based on values of the time count numbers at the present time and a reference time in the time count area and an order of the present time and the reference time; and

using the time count number at the present time as the time difference between the advertisement broadcast end time and the present time where the time count number is a countdown number.

12. The non-transitory computer storage medium of claim 9, wherein identifying the time count number in the time count area displayed along with the presently displayed advertisement frame in the video comprises:

identifying the time count number in the time count area displayed along with the presently displayed advertisement frame in the video by using a text recognition algorithm.