A new framework for image retrieval/object search is proposed based on the VLAD model
and SURF descriptors to improve the codebook construction speed, the image matching …

The landmark recognition problem is far from being solved, but with the use of features
extracted from intermediate layers of Convolutional Neural Networks (CNNs), excellent …

This study proposes a novel algorithm that enhances the distinctiveness of the traditional
vector of locally aggregated descriptors (VLAD) using spatial distribution clue of local …

During the last years, the problem of landmark recognition is addressed in many different
ways. Landmark recognition is related to finding the most similar images to a starting one in …

The recent advances brought by deep learning allowed to improve the performance in
image retrieval tasks. Through the many convolutional layers, available in a Convolutional …

The vector of locally aggregated descriptor (VLAD) has been demonstrated to be efficient
and effective in image retrieval and classification tasks. Due to the small-size codebook …

针对局部聚合描述子向量(vector of locally aggregate descriptor, VLAD)
的图像检索能力还有待提高的问题, 提出利用尺度不变特征变换描述子(scale invariant feature …

This article presents an approach for retrieving scenes of interest in long-duration videos
through image-to-text encoding. Unlike conventional approaches that often involve the use …

We are interested in the encoding of local descriptors of an image (eg SIFT) to design a
compact representation vector and thereby address scalable image retrieval. We revisit the …

Event management is imperative for manufacturing enterprises. Manufacturing events have
to be captured, categorized, analyzed and acted upon in real-time fashions. This paper …