A Motion-Sketch Based Video Retrieval Using MST-CSS Representation

C. Chattopadhyay, Sukhendu Das
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引用次数: 4

Abstract

In this work, we propose a framework for a robust Content Based Video Retrieval (CBVR) system with free hand query sketches, using the Multi-Spectro Temporal-Curvature Scale Space (MST-CSS) representation. Our designed interface allows sketches to be drawn to depict the shape of the object in motion and its trajectory. We obtain the MST-CSS feature representation using these cues and match with a set of MST-CSS features generated offline from the video clips in the database (gallery). Results are displayed in rank ordered similarity. Experimentation with benchmark datasets shows promising results.
基于MST-CSS表示的运动草图视频检索
在这项工作中,我们提出了一个鲁棒的基于内容的视频检索(CBVR)系统框架,该系统使用多光谱时间曲率尺度空间(MST-CSS)表示。我们设计的界面允许绘制草图来描绘运动中的物体的形状及其轨迹。我们使用这些线索获得MST-CSS特征表示,并与数据库(库)中的视频片段离线生成的一组MST-CSS特征进行匹配。结果按相似度排序显示。对基准数据集的实验显示了有希望的结果。
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