We present a method that addresses image matching from partial blurry images by casting it as a problem of text retrieval. This allows us to leverage ...
May 1, 2012 · We present a method that addresses image matching from partial blurry images by casting it as a problem of text retrieval.
We present a method that addresses image matching from partial blurry images by casting it as a problem of text retrieval. This allows us to leverage ...
We have indexed more than 500,000 images. We provide recognition in approximately 500ms. We present a method that addresses image matching from partial blurry ...
Abstract: A method for image matching from partial blurry images is presented that leverages existing text retrieval algorithms to provide a solution that ...
A method for image matching from partial blurry images is presented that leverages existing text retrieval algorithms to provide a solution that scales to ...
Toward Massive Scalability in Image Matching | Request PDF
www.researchgate.net › publication › 22...
Large scalability in document image matching using text retrieval ... We present a method that addresses image matching from partial blurry images by casting it ...
ABSTRACT. Despite the explosion of text on the Internet, hard copy documents that have been scanned as images still play a significant role for some tasks.
Jun 5, 2023 · In this paper, we introduce a large Multi-Attribute and Language Search dataset for text-based person retrieval, called MALS, and explore the ...
Motivated by text retrieval framework, each entry in the inverted index stores information associated with each indexed feature, such as image IDs [Qin et al.,.