Residual Enhanced Visual Vectors for on-device image matching

Residual Enhanced Visual Vectors for on-device image matching
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DOI：
10.1109/acssc.2011.6190128
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发表时间：
2011-11
期刊：
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
影响因子：
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通讯作者：
David M. Chen;Sam S. Tsai;V. Chandrasekhar;Gabriel Takacs;Huizhong Chen;Ramakrishna Vedantham;R. Grzeszczuk;B. Girod
David M. Chen;Sam S. Tsai;V. Chandrasekhar;Gabriel Takacs;Huizhong Chen;Ramakrishna Vedantham;R. Grzeszczuk;B. Girod
中科院分区：
其他
文献类型：
--
作者：
David M. Chen;Sam S. Tsai;V. Chandrasekhar;Gabriel Takacs;Huizhong Chen;Ramakrishna Vedantham;R. Grzeszczuk;B. Girod

文献摘要

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大多数移动的视觉搜索（MVS）系统查询存储在服务器上的大型数据库。本文提出了一种新的架构，直接在移动终端上搜索一个大型数据库，它具有许多好处，网络无关，低延迟，隐私保护的图像检索。设备上MVS的一个关键挑战是在移动终端有限的RAM中存储内存密集型数据库。我们设计并实现了一个新的紧凑的全球图像签名称为残余增强视觉矢量（REVV），是典型的MVS中使用的本地功能进行了优化。REVV在MVS设置中优于现有的紧凑数据库表示，并在大规模检索测试中达到与使用26倍内存的词汇树相似的检索精度。因此，REVV的紧凑性使得能够在移动终端上查询许多数据库映像。
Most mobile visual search (MVS) systems query a large database stored on a server. This paper presents a new architecture for searching a large database directly on a mobile device, which has numerous benefits for network-independent, low-latency, and privacy-protected image retrieval. A key challenge for on-device MVS is storing a memory-intensive database in the limited RAM of the mobile device. We design and implement a new compact global image signature called the Residual Enhanced Visual Vector (REVV) that is optimized for the local features typically used in MVS. REVV outperforms existing compact database representations in the MVS setting and attains similar retrieval accuracy in large-scale retrieval tests as a Vocabulary Tree that uses 26× more memory. The compactness of REVV consequently enables many database images to be queried on a mobile device.