SIFT meets CNN: A decade survey of instance retrieval
In the early days, content-based image retrieval (CBIR) was studied with global features.
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …
Bag‐of‐words representation in image annotation: a review
CF Tsai - International Scholarly Research Notices, 2012 - Wiley Online Library
Content‐based image retrieval (CBIR) systems require users to query images by their low‐
level visual content; this not only makes it hard for users to formulate queries, but also can …
level visual content; this not only makes it hard for users to formulate queries, but also can …
[KİTAP][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic
human actions from video. However, existing methods typically rely on a predefined spatial …
human actions from video. However, existing methods typically rely on a predefined spatial …
[KİTAP][B] Visual object recognition
The visual recognition problem is central to computer vision research. From robotics to
information retrieval, many desired applications demand the ability to identify and localize …
information retrieval, many desired applications demand the ability to identify and localize …
Grouplet: A structured image representation for recognizing human and object interactions
Psychologists have proposed that many human-object interaction activities form unique
classes of scenes. Recognizing these scenes is important for many social functions. To …
classes of scenes. Recognizing these scenes is important for many social functions. To …
Bundling features for large scale partial-duplicate web image search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words
obtained by quantizing high-dimensional local image descriptors, and scalable schemes …
obtained by quantizing high-dimensional local image descriptors, and scalable schemes …
Image retrieval with geometry-preserving visual phrases
The most popular approach to large scale image retrieval is based on the bag-of-visual-
word (BoV) representation of images. The spatial information is usually re-introduced as a …
word (BoV) representation of images. The spatial information is usually re-introduced as a …
Subsidiary prototype alignment for universal domain adaptation
Abstract Universal Domain Adaptation (UniDA) deals with the problem of knowledge transfer
between two datasets with domain-shift as well as category-shift. The goal is to categorize …
between two datasets with domain-shift as well as category-shift. The goal is to categorize …
Trajectory-based modeling of human actions with motion reference points
Human action recognition in videos is a challenging problem with wide applications. State-of-
the-art approaches often adopt the popular bag-of-features representation based on isolated …
the-art approaches often adopt the popular bag-of-features representation based on isolated …