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A weakly supervised deep station logo detection method

A weakly supervised, station logo technology, applied in the field of deep learning, can solve problems such as labor and time consumption, and achieve the effect of improving precision and recall rate, improving data processing efficiency, and improving the effect of station logo detection.

Active Publication Date: 2020-05-22
INST OF INFORMATION ENG CHINESE ACAD OF SCI
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Problems solved by technology

However, for most of the classic neural network-based detection models, a large number of annotations are often required, which is labor-intensive and time-consuming.

Method used

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  • A weakly supervised deep station logo detection method
  • A weakly supervised deep station logo detection method
  • A weakly supervised deep station logo detection method

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Embodiment Construction

[0045] In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

[0046] The present invention provides a weakly supervised deep station logo detection method, and its station logo detection model training process is as follows figure 1 As shown, the flow chart of the method is as follows figure 2 As shown, and the method includes a training phase and a detection phase, and the training phase mainly includes the following steps:

[0047] (1) Deduplicate massive network video data files according to the MD5 code, and retain valid data to facilitate later data processing and ensure effective training.

[0048](2) Use the key frame extraction method to extract some key frames from the above-mentioned deduplicated network video, and carry out M palace grid division to each network video key frame, only keep four 1 / M picture b...

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Abstract

The invention provides a weakly supervised in-depth station logo detection method, the steps of which are: preprocessing massive network video data files to obtain a large data set that only marks the station logo category and a small data set that only marks the station logo position ; Input the above-mentioned small data set into the station logo positioning network for training, and obtain a station logo positioning network capable of predicting the station logo area; input the above-mentioned large data set into the above-mentioned trained station logo positioning network, and obtain each piece in the large data set Some predicted station logo regions of the picture, and several predicted station logo regions of each picture are input into the station logo classification network for training, and the station logo classification network that can be classified as the station logo is obtained; the video to be detected is carried out with the same part as above Preprocessing, and inputting the image obtained after preprocessing into the trained station logo positioning network to obtain the predicted station logo area of ​​the picture; inputting the predicted station logo area of ​​the above picture into the trained station logo classification network to obtain the image's predicted station logo area The location and category of the station logo.

Description

technical field [0001] The invention relates to the field of deep learning, in particular to a weakly supervised deep station logo detection method. Background technique [0002] With the development of the Internet and the rise of multimedia technology, online video carries more and more content and has become a major content carrier in the era of big data. Different video sources tend to present different video content information. By detecting video logos, network video data can be managed more effectively, video source and content information can be grasped in advance, and videos containing bad information can be supervised. Therefore, video station logo detection has strong practical significance and research value. [0003] Station logo data widely exists in network video, and station logo detection is to detect several key frames extracted from network video. Compared with general object detection, station logo detection has particularity. The detection target appea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/74G06F16/732G06K9/62G06K9/66
CPCG06F16/7335G06F16/743G06V30/194G06F18/23213G06F18/24
Inventor 操晓春张月莹伍蹈
Owner INST OF INFORMATION ENG CHINESE ACAD OF SCI
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