This paper demonstrates a domain-specific music retrieval system to help music therapists find appropriate music for Parkinson's disease patients in their gait training. Different from existing music search engines, this system incorporates multiple ...

Determining the pose of a mobile device based on visual information is a promising approach to solve the indoor localization problem. We present an approach that transforms localized images along a mapping trajectory into virtual viewpoints that cover a ...

Mobile visual search has attracted extensive attention for its huge potential for numerous applications. Research on this topic has been focused on two schemes: sending query images, and sending compact descriptors extracted on mobile phones. The first ...

Recently, smart phones not only perform the basic communication function but also become the first choice in information collection. For instance, when smartphone users want to obtain relevant information about the products on the shelf, all they have ...

Progressive transmission is very effective to reduce retrieval latency in mobile visual search. However, the acceleration effects of existing progressive transmission strategies are often limited because of the neglect of geometric information in the ...

In Near-Duplicate Video Retrieval (NDVR), recent works have focused on bettering index structures and matching schemes not only to improve retrieval accuracy but also to enforce scalability in an effort to keep up with the ever-growing size of video ...

As the volumes of web images have grown rapidly in the last decade, Content-Based Image Retrieval (CBIR) has attracted substantial interests as an effective tool to manage the images. Most existing CBIR systems focus on the object in the image, while ...

In the real world, there are a huge amount of advertisement (ad) boards to make customers have a visual awareness of the products or services easily. However, information appearing in the ad boards is so limited that customers always want to know more ...

Hashing methods, which generate binary codes to preserve certain similarity, recently have become attractive in many applications like large scale visual search. However, most of state-of-the-art hashing methods only utilize single feature type, while ...

Query expansion has been successfully employed to improve the performance of image retrieval system. It usually expands the original query based on the information from top ranked images. However, it may fail when some of the top ranked images are false ...

Query suggestion is an effective solution to help users deliver their search intent. While many query suggestion approaches have been proposed for test-based image retrieval with query-by-keywords, query suggestion for content-based image retrieval (...

The large amount of user-tagged images on social networks is helpful to facilitate image management and image search. However, many tags are weakly relevant or irrelevant to the visual content, resulting in unsatisfactory performance in tag related ...

This paper presents a scalable method for automatically discovering frequent visual objects in large multimedia collections even if their size is very small. It first formally revisits the problem of mining or discovering such objects, and then ...

The recent increase in the volume and variety of video content available online presents growing challenges for video search. Users face increased difficulty in formulating effective queries and search engines must deploy highly effective algorithms to ...

Searching through large collections of images to find patterns of use or to find sets of relevant items is difficult, especially when the information to consider is not only the content of the images itself, but also the associated metadata. Multimedia ...

Many problems, including feature selection, vocabulary learning, location and landmark recognition, structure from motion and 3d reconstruction, rely on a learning process that involves wide-baseline matching on multiple views of the same object or ...

In this paper, we address the approximate nearest neighbor (ANN) search problem over large scale visual descriptors. We investigate a simple but very effective approach, neighborhood graph search, which constructs a neighborhood graph to index the data ...

The use of image reranking to boost retrieval performance has been found to be successful for simple queries. It is, however, less effective for complex queries due to the widened semantic gap. This paper presents a scheme to enhance web image reranking ...

While on the go, more and more people are using their phones to enjoy ubiquitous location-based services (LBS). One of the fundamental problems of LBS is localization. Researchers are now investigating ways to use a phone-captured image for localization ...