The proliferation of mobile devices is producing a new wave of mobile visual search
applications that enable users to sense their surroundings with smart phones. As the …

The proliferation of mobile devices is producing a new wave of applications that enable
users to sense their surroundings with smart phones. People are preferring mobile devices …

Due to the bandwidth limitation in wireless networks, transmission overhead is a big
problem in Mobile Visual Search (MVS). Existing work proposes transmitting the …

In this work, to the best of our knowledge, we propose a stand-alone large-scale image
classification system running on an Android smartphone. The objective of this work is to …

High user interaction capability of mobile devices can help improve the accuracy of mobile
visual search systems. At query time, it is possible to capture multiple views of an object from …

As a kind of interesting mobile application, Mobile Visual Search (MVS) has attracted
extensive research efforts from both academy and industry. Most of the MVS systems adopt …

Mobile devices have been an indispensable part of human life, which enable people to
search and browse what they want on the move. Mobile video search, as one of the most …

Images have become the most popular type of multimedia in the Big Data era. Widely used
applications like CBIR underscore the importance of image understanding, especially in …

Image retrieval researchers aim to build good algorithms and devise methods to produce
accurate ranked lists. However, the search results themselves appear rather repetitious, and …

Visual search has evolved over the years, according to the demand of users. Single image
query search systems are inadequate to represent a query object, because they are limited …