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A method and system for video style transformation and automatic generation based on deep learning

A deep learning and automatic generation technology, applied in the field of image processing, can solve the problems of limited number of templates, lack of uniformity in editing, and inability to better meet the needs, so as to achieve the effect of reducing learning costs and improving learning ability

Active Publication Date: 2020-12-29
XIAMEN UNIV
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AI Technical Summary

Problems solved by technology

[0002] In the fields related to video production, innovative applications based on artificial intelligence are still in a blank state, and there is no set of feasible solutions to meet the needs of video design
In addition, most of the video processing is in the form of templates with preset parameters, which has obvious defects: 1. The number of templates is limited, and the realization effect of templates is limited to the template parameters that have been set
2. The setting of the template is based on the long-term accumulation of professional knowledge, which increases the learning cost of video production
3. There is a lack of uniformity in the editing of video materials with different tones and tones
4. Video production in the form of templates cannot better meet the needs of non-professional groups for professional video production

Method used

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  • A method and system for video style transformation and automatic generation based on deep learning
  • A method and system for video style transformation and automatic generation based on deep learning

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Embodiment Construction

[0034] like figure 1 As shown, a kind of deep learning-based video style transformation and automatic generation method of the present invention comprises the following steps:

[0035] Step 1. Use the deep learning framework to classify the subject and train the style model to obtain the product identification module for automatic category identification and the corresponding style processing parameters of different style models. After learning a large number of different types of videos, generate corresponding Relevant models of topics or tags, and create a video clip style material resource library for video material recommendation according to category and style;

[0036] Step 2. Obtain the user's video to be processed and the user's video requirements, where the video requirements include style requirements and duration requirements;

[0037] Step 3. Automatically identify the category of the video to be processed through the product identification module, and recommend t...

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Abstract

The present invention provides a method of video style transformation and automatic generating method based on deep learning, using deep learning framework to classify the shooting subject and style model training; obtain the needs of video and user video needs; identify the category of video to be processed, combined with user styleRequirements and duration requirements, recommend the best mirror number and video material; according to the order of video materials and video materials selected by the user, the rendereer automatically combines the corresponding style processing parameters to render the video to rendering and the overall rendering generating style video;Users adjust the modification information, as a feedback information optimization style model, analyze user preferences, optimize deep learning frameworks, and form a feedback learning model.The present invention also provides a video style transformation and automatic generating system based on deep learning. According to the user's demand for video style, it automatically recommends style material, and automatically completes the style rendering of video clips and rendering the overall video.Essence

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and system for video style transformation and automatic generation based on deep learning. Background technique [0002] In the fields related to video production, there is currently no innovative application based on artificial intelligence, and there is no set of feasible solutions to meet the needs of video design. In addition, most of the video processing is in the form of templates with preset parameters, which has obvious defects: 1. The number of templates is limited, and the realization effect of templates is limited to the template parameters that have been set. 2. The setting of the template is based on the long-term accumulation of professional knowledge, which increases the learning cost of video production. 3. There is a lack of consideration of uniformity in the editing of video materials with different tones and tones. 4. Video productio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62H04N21/466
CPCH04N21/4662G06F18/214
Inventor 佘莹莹陈阳
Owner XIAMEN UNIV
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