Circular reranking for visual search
Search reranking is regarded as a common way to boost retrieval precision. The problem
nevertheless is not trivial especially when there are multiple features or modalities to be …
nevertheless is not trivial especially when there are multiple features or modalities to be …
Co-reranking by mutual reinforcement for image search
Most existing reranking approaches to image search focus solely on mining" visual" cues
within the initial search results. However, the visual information cannot always provide …
within the initial search results. However, the visual information cannot always provide …
Typicality-based visual search reranking
Most existing approaches to visual search reranking predominantly focus on mining
information only from the initial ranking order on the basis of pseudo-relevance feedback …
information only from the initial ranking order on the basis of pseudo-relevance feedback …
Bayesian visual reranking
Visual reranking has been proven effective to refine text-based video and image search
results. It utilizes visual information to recover “true” ranking list from the noisy one …
results. It utilizes visual information to recover “true” ranking list from the noisy one …
Submodular reranking with multiple feature modalities for image retrieval
We propose a submodular reranking algorithm to boost image retrieval performance based
on multiple ranked lists obtained from multiple modalities in an unsupervised manner. We …
on multiple ranked lists obtained from multiple modalities in an unsupervised manner. We …
Optimizing visual search reranking via pairwise learning
Y Liu, T Mei - IEEE Transactions on Multimedia, 2011 - ieeexplore.ieee.org
Visual search reranking is defined as reordering visual documents (images or video clips)
based on the initial search results or some auxiliary knowledge to improve the search …
based on the initial search results or some auxiliary knowledge to improve the search …
Crowdreranking: Exploring multiple search engines for visual search reranking
Most existing approaches to visual search reranking predominantly focus on mining
information within the initial search results. However, the initial ranked list cannot provide …
information within the initial search results. However, the initial ranked list cannot provide …
Supervised reranking for web image search
L Yang, A Hanjalic - Proceedings of the 18th ACM international …, 2010 - dl.acm.org
Visual search reranking that aims to improve the text-based image search with the help from
visual content analysis has rapidly grown into a hot research topic. The interestingness of …
visual content analysis has rapidly grown into a hot research topic. The interestingness of …
Image search reranking with query-dependent click-based relevance feedback
Our goal is to boost text-based image search results via image reranking. There are diverse
modalities (features) of images that we can leverage for reranking, however, the effects of …
modalities (features) of images that we can leverage for reranking, however, the effects of …
A scalable re-ranking method for content-based image retrieval
Abstract Content-based Image Retrieval (CBIR) systems consider only a pairwise analysis,
ie, they measure the similarity between pairs of images, ignoring the rich information …
ie, they measure the similarity between pairs of images, ignoring the rich information …