发明名称 Method for representing images using quantized embeddings of scale-invariant image features
摘要 Scale-invariant features are extracted from an image. The features are projected to a lower dimensional random projection matrix by multiplying the features by a matrix of random entries. The matrix of random projections is quantized to produce a matrix of quantization indices, which form a query vector for searching a database of images to retrieve metadata related to the image.
申请公布号 US8891878(B2) 申请公布日期 2014.11.18
申请号 US201213525222 申请日期 2012.06.15
申请人 Mitsubishi Electric Research Laboratories, Inc. 发明人 Rane Shantanu;Boufounos Petros T;Li Mu
分类号 G06K9/48;G06K9/46 主分类号 G06K9/48
代理机构 代理人 Brinkman Dirk;Vinokur Gene
主权项 1. A method for representing an image, comprising the steps of: extracting features from the image, wherein the features are scale-invariant; projecting the features to produce a matrix of random projections by multiplying the features by a matrix of random entries; and quantizing the matrix of random projections to produce a matrix of quantization indices representing the image, wherein the steps are performed by a processor in a client.
地址 Cambridge MA US