METHOD AND SYSTEM FOR EXTRACTION AND ASSOCIATION OF OBJECT OF INTEREST IN VIDEO
First Claim
1. A method for extracting an object of interest in a video, comprising:
- generating an attention degree parameter according to a position of point obtained in a coarse positioning process, wherein the attention degree parameter indicates an attention degree of each area in a video frame;
identifying a foreground area according to the attention degree of each area in the video frame;
performing convex hull processing on the foreground area to obtain candidate objects of interest, and determining an optimal candidate object of interest according to a user reselection result; and
extracting a visual feature of the optimal candidate object of interest, obtaining an optimal image in an image feature base according to the visual feature, matching out value-added information which corresponds to the optimal image in a value-added information base, and presenting the matched value-added information to the user.
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Abstract
The present disclosure relates to an image and video processing method, and in particular, to a two-phase-interaction-based extraction and association method for an object of interest in a video. In the method, a user performs coarse positioning interaction by an interactive method which is not limited to a normal manner and has a low requirement for prior knowledge; based on this, a certain extraction algorithm which is fast and easy to implement is adopted to perform multi-parameter extraction on the object of interest. In the method, on the basis of mining video information fully and ensuring user preference, in a manner where the viewing of the user is not affected, associate value-added information with the object which the user is interested in, thereby meeting the user'"'"'s requirement for deeply knowing and further exploring an attention area.
31 Citations
12 Claims
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1. A method for extracting an object of interest in a video, comprising:
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generating an attention degree parameter according to a position of point obtained in a coarse positioning process, wherein the attention degree parameter indicates an attention degree of each area in a video frame; identifying a foreground area according to the attention degree of each area in the video frame; performing convex hull processing on the foreground area to obtain candidate objects of interest, and determining an optimal candidate object of interest according to a user reselection result; and extracting a visual feature of the optimal candidate object of interest, obtaining an optimal image in an image feature base according to the visual feature, matching out value-added information which corresponds to the optimal image in a value-added information base, and presenting the matched value-added information to the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An system for extracting an object of interest in a video, comprising:
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a basic interaction module, configured to provide a position of point obtained according to a coarse positioning process; an object of interest extraction module, configured to generate an attention degree parameter according to the position of point provided by the user in the coarse positioning process, wherein the attention degree parameter is used to indicate an attention degree of each area in a video frame, identify a foreground area according to the attention degree of each area in the video frame, and perform convex hull processing on the foreground area to obtain candidate objects of interest; an extending interaction module, configured to determine an optimal candidate object of interest according to a user reselection result; and a value-added information searching module, configured to extract a visual feature of the optimal candidate object of interest, obtain an optimal image in an image feature base according to the visual feature, match out value-added information which corresponds to the optimal image in a value-added information base, and present the matched value-added information to the user. - View Dependent Claims (11, 12)
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Specification