A new media material matching method based on cross-modal retrieval
CN122946591APending Publication Date: 2026-10-20QINGDAO JIUYU DIGITAL TECH CO LTD
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Patent Information
- Application Number
- CN202611364447.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-09-04
- Publication Date
- 2026-10-20
AI Technical Summary
Technical Problem
[0003]然而,新媒体视频通常经过镜头切换、片段拼接等编辑处理,当跨模态检索采用的视频片段恰好跨越镜头切换位置时,视频特征聚合过程可能同时接收镜头切换前后的视觉内容
Benefits of technology
[0015]本发明一种基于跨模态检索的新媒体素材匹配方法的技术效果和优点:本发明针对经剪辑的新媒体视频在跨模态检索过程中,镜头切换前后的动作初始状态和动作结束状态可能被共同聚合至同一候选视频特征而造成误匹配的问题,通过分别利用剪辑点前、后多帧目标对象与动作初始状态、动作结束状态的跨模态相似度形成对应相似度范围,并以两个相似度范围作为单一连续镜头内逐帧分析的起始和结束依据;当连续采样帧的跨模态相似度变化方向与检索文本对应的状态变化方向相反时终止当前分析并重新确定起点,从而避免将中途反向变化或不同镜头中的分离状态继续组合为同一状态变化过程;最终仅对满足连续状态变化关系的目标视频片段重新执行跨模态匹配,可降低仅包含动作前后状态但未实际记录连续动作过程的视频片段进入匹配结果的概率,提高状态变化动作检索场景下新媒体素材匹配结果与检索文本实际动作语义之间的一致性和准确性。
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Abstract
This invention discloses a new media material matching method based on cross-modal retrieval, relating to the fields of video retrieval and new media material processing technology. It addresses the problem that when candidate video segments cross a cut point, the initial state of the action before the cut point and the final state of the action after the cut point are used together for video feature formation, making it impossible to determine whether the two states change continuously within the same continuous shot. The method obtains retrieval text containing state-change actions and candidate video segments, identifies the target object, the initial state of the action, the final state of the action, and the cut point, and forms a corresponding similarity range based on the cross-modal similarity of multiple frames before and after the cut point. In continuous shots that do not cross the cut point, the analysis starting point is determined; when a reverse similarity change occurs, the starting point is re-determined until the similarity range after the cut point is entered, thus obtaining the target video segment and re-performing cross-modal matching.
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