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A Method for Spotting Topic Objects from Video Sequences

A video sequence and theme technology, applied in the field of image processing, can solve problems such as difficult summarization

Active Publication Date: 2018-02-02
TSINGHUA UNIV
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  • Abstract
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Problems solved by technology

The video contains a wealth of content, it is difficult for people to intuitively summarize

Method used

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  • A Method for Spotting Topic Objects from Video Sequences
  • A Method for Spotting Topic Objects from Video Sequences
  • A Method for Spotting Topic Objects from Video Sequences

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Embodiment Construction

[0046] The method that the present invention proposes discovers subject target from video sequence, comprises the following steps:

[0047] (1) Train a classifier w and a gain coefficient v for selecting candidate regions containing subject objects in video images to be processed i and bias coefficient t i , the specific process is as follows:

[0048] (1-1) Take an image set containing known targets as a training sample, and adjust the image in the training sample to an image whose length and width are W and H respectively by interpolation method, where W,H∈{10,20, 40,80,160,320}, calculate the gradient norm of the adjusted image;

[0049] (1-2) Let T be all image windows containing known targets in the image, and S be any image window in the image, then the overlapping area o(t,s) of window t∈T and window s∈S is:

[0050]

[0051] Use an 8×8 image window to perform sliding sampling on the resized training samples in step (1-1) to obtain multiple 8×8 sliding windows, an...

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Abstract

The invention relates to a method for discovering subject objects in video sequences, belonging to the technical field of image processing. First, train the classifier, gain coefficient and bias coefficient, and randomly extract two frames of images from the video to be processed every second to obtain a video image sequence; select candidate subject targets from the image sequence, and perform feature representation on the candidate subject targets, using Hidden Dirichlet Allocation Model to Find Topic Targets from Candidate Topic Targets. The present invention uses the window method to obtain the candidate target, which largely avoids the situation that the target is often separated due to segmentation; since the window often contains the target, it has been largely eliminated during the subsequent model training. The background in the picture is eliminated, so that the theme obtained by the hidden Dirichlet distribution is more accurate; the soft coding method enables the feature points to find a more accurate cluster center during the model iteration process.

Description

technical field [0001] The invention relates to a method for discovering subject objects in video sequences, belonging to the technical field of image processing. Background technique [0002] In recent years, with the popularity of the Internet and television, people are faced with more and more video clips. The video contains a wealth of content, and it is difficult for people to intuitively summarize it. It is becoming more and more important to automatically find targets that match the subject of the video, so as to help people quickly understand the main content of the video. On the premise of retaining the main content of the original video, how to effectively extract the target in the video is the main difficulty of current research. [0003] A previous work is to find the target in a large number of pictures, segment each picture under different settings, and assume that these segmentations contain the target we want. Then use the Dirichlet distribution method to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/44G06V20/41G06F18/23213G06F18/2411
Inventor 刘华平刘云辉孙富春
Owner TSINGHUA UNIV
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