文献类型： 会议论文

第一作者： Jassem Mansouri

作者： Jassem Mansouri ¹ ; Bassem Seddik ¹ ; Sami Gazzah ¹ ; Thierry Chateau ² ;

作者机构： 1.SAGE R.U., University of Sousse

2.Pascal Institute, Blaise Pascal University

关键词： Video processing;Localization;Spatio-temporal interest point;Semantic shape context;Classification

会议名称： International Conference on Image Processing Theory, Tools and Applications

主办单位：

页码： 355-359

摘要： We introduce a new video contents description approach and use it for the purpose of coarse localization. It is based on a Bag of Words representation combining both space-time STIP features and semantic-context SSC features. We assume that adding semantic context encodes in a more efficient way the spatio-temporal information into video sequences. The resulting augmented descriptor is related to a geographic location that can be estimated within a classic classification framework. We show that on real geo-referenced video sequences, the proposed system improves the localization compared to classical descriptors.

分类号： TP391.41-53