Shopping Analysis Method Based on First-Person View Shopping Video
A first-person, analysis method technology, applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problems of difficulty in obtaining comprehensive consumption analysis, single "commodity-user" relationship, low efficiency, etc., and save shooting and uploading burden and the effect of enriching consumption information
Active Publication Date: 2021-11-02
PEKING UNIV
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Problems solved by technology
This method relies on users’ manual shooting and uploading, which is inefficient, cumbersome and difficult to obtain comprehensive consumption analysis. "The relationship is single, and the rich consumer behavior in the whole shopping process cannot be used to establish multiple associations of "products-users"
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[0051] figure 2 A schematic flow diagram of the present invention is shown. Such as figure 2 , image 3 As shown, the present invention provides a shopping analysis method based on first-person perspective shopping video, including:
[0052] For full shopping videos, split the video into multiple video segments;
[0053] N image frames are selected at equal time intervals for each video clip, and the video clips are classified into shopping actions.
[0054] For a complete shopping video of a user in a store, based on different consumer behavior definitions, the shopping video is divided into several video clips at equal time intervals, and N frames of image frames are extracted from the video clips, where N is positive Integer; preferably, a two-second video clip is taken every two seconds, and 16 frames at equal intervals are extracted from the video clip for motion prediction;
[0055] Preferably, the video segment is classified into shopping actions, and N image frame...
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The invention relates to the technical field of artificial intelligence applications, in particular to a shopping analysis method based on a first-person perspective shopping video. Specifically comprising: dividing the complete shopping video into a plurality of video clips; extracting N frames of image frames from the video clips; analyzing the extracted image frames to obtain the shopping action type corresponding to the video frequency band; and according to the obtained video clips For the corresponding type of shopping action, identify the commodity corresponding to the video segment of the preset shopping action type; and establish the correspondence between the identified commodity and the corresponding shopping action type. The present invention uses consumer shopping videos from the first-person perspective to conduct comprehensive consumption analysis. Compared with image-based analysis methods, this patent saves consumers the burden of shooting and uploading, and can comprehensively analyze the entire shopping process to obtain a complete Expenses record.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence applications, in particular to a shopping analysis method based on a first-person perspective shopping video. Background technique [0002] The analysis and records of consumer shopping are the basis for analyzing consumer preferences, discovering key factors affecting purchases, and making targeted recommendations and helping consumers shop. value. [0003] figure 1 Traditional consumption analysis is shown. Based on the product image uploaded by the user, detect the area where the product exists, extract image features for each area, and extract features from the product image in the database, compare the features of each area of the captured image with the feature of the database image, and obtain the final product identification result. This method relies on the user's manual shooting and uploading, which is inefficient, cumbersome and difficult to obtain comprehensive co...
Claims
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IPC IPC(8): G06K9/00G06K9/62G06Q30/02G06K9/46
CPCG06Q30/0201G06V40/20G06V20/40G06V10/44G06F18/241G06F18/253
Inventor 段凌宇张琳王策
Owner PEKING UNIV