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Learning Semantic Signatures for 3D Object Retrieval
文献类型：期刊论文
| 作者 | Gong, Boqing; Liu, Jianzhuang; Wang, Xiaogang; Tang, Xiaoou |
| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
 |
| 出版日期 | 2013 |
| 英文摘要 | In this paper, we propose two kinds of semantic signatures for 3D object retrieval (3DOR). Humans are capable of describing an object using attribute terms like “symmetric” and “flyable”, or using its similarities to some known object classes. We convert such qualitative descriptions into attribute signature (AS) and reference set signature (RSS), respectively, and use them for 3DOR. We also show that AS and RSS can be understood as two different quantization methods of the same semantic space of human descriptions of objects. The advantages of the semantic signatures are threefold. First, they are much more compact than low-level shape features yet working with comparable retrieval accuracy. Therefore, the proposed semantic signatures require less storage space and computation cost in retrieval. Second, the high-level signatures are a good complement to low-level shape features. As a result, by incorporating the signatures we can improve the performance of state-of-the-art 3DOR methods by a large margin. To the best of our knowledge, we obtain the best results on two popular benchmarks. Third, the AS enables us to build a user-friendly interface, with which the user can trigger a search by simply clicking attribute bars instead of finding a 3D object as the query. This interface is of great significance in 3DOR considering the fact that while searching, the user usually does not have a 3D query at hand that is similar to his/her targeted objects in the database. |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6365823 |
| 语种 | 英语 |
| WOS记录号 | WOS:000313875500012 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4363]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | IEEE TRANSACTIONS ON MULTIMEDIA |
| 推荐引用方式 GB/T 7714 | Gong, Boqing,Liu, Jianzhuang,Wang, Xiaogang,et al. Learning Semantic Signatures for 3D Object Retrieval[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2013. |
| APA | Gong, Boqing,Liu, Jianzhuang,Wang, Xiaogang,&Tang, Xiaoou.(2013).Learning Semantic Signatures for 3D Object Retrieval.IEEE TRANSACTIONS ON MULTIMEDIA. |
| MLA | Gong, Boqing,et al."Learning Semantic Signatures for 3D Object Retrieval".IEEE TRANSACTIONS ON MULTIMEDIA (2013). |
入库方式： OAI收割
来源：深圳先进技术研究院
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