面向多场景鸟类图像的垂直大模型文案生成方法

By preprocessing bird images and validating them with a validation set, the generation parameters are corrected, solving the problems of low reliability and efficiency in existing text generation technologies, and achieving efficient and accurate bird image text generation.

CN122113869BActive Publication Date: 2026-07-17ZHEJIANG UNIHOME TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG UNIHOME TECHNOLOGY CO LTD
Filing Date
2026-04-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies do not consider periodically correcting generation parameters based on a validation set, which affects the reliability and efficiency of bird image caption generation.

Method used

By preprocessing the acquired images, extracting bird and background features, retrieving references from the vertical large model, identifying valid sentences, and periodically validating the generated copy through a validation set, the generation parameters are corrected to ensure the accuracy and structural rationality of the copy.

Benefits of technology

It improves the reliability and efficiency of generated copy, ensures that each sentence has a semantic anchor point and a reasonable structure, reduces performance drift during long-term operation, and reduces the false judgment rate.

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Abstract

本发明涉及鸟类科普技术领域,尤其涉及一种面向多场景鸟类图像的垂直大模型文案生成方法,包括,对获取的待分析图像进行预处理,以获取校正图像;提取校正图像中的鸟类特征和背景特征;基于识别的鸟类特征和背景特征确定实际种类名称;基于实际种类名称获取若干参考文献;提取各参考文献中有效语句,对各有效语句进行内容提取以获取若干文本组;各文本组进行排序,以获取输出文案;周期性基于验证集确定输出文案的生成是否合格,在确定输出文案的生成异常时,基于偏差量修正输出文案的生成参数。定期基于验证集校正生成参数,提高了生成文案的可靠性,进而提高了文案生成效率。
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