Export Citations
Publications
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- article
Multiple complementary inverted indexing based on multiple metrics
Multimedia Tools and Applications, Volume 78, Issue 6•March 2019, pp 7727-7747 • https://doi.org/10.1007/s11042-018-6439-xInverted indexing based on vector quantization has been a popular technique in large scale information retrieval. With vector quantization based on a certain similarity metric, the sample space is partitioned into some voronoi cells, and samples in each ...
- research-article
Improving context-sensitive similarity via smooth neighborhood for object retrieval
Pattern Recognition, Volume 83, Issue C•Nov 2018, pp 353-364 • https://doi.org/10.1016/j.patcog.2018.06.001Highlights- Aiming at improving context-sensitive similarity, we propose a novel algorithm for neighborhood structure mining, which satisfies the manifold assumption.
AbstractDue to the ability of capturing the geometry structure of data manifold, context-sensitive similarity has demonstrated impressive performances in the retrieval task. The key idea of context-sensitive similarity is that the similarity ...
- research-article
Retrieval Oriented Deep Feature Learning With Complementary Supervision Mining
IEEE Transactions on Image Processing, Volume 27, Issue 10•Oct. 2018, pp 4945-4957 • https://doi.org/10.1109/TIP.2018.2845120Deep convolutional neural networks (CNNs) have been widely and successfully applied in many computer vision tasks, such as classification, detection, semantic segmentation, and so on. As for image retrieval, while off-the-shelf CNN features from models ...
- research-article
Local residual similarity for image re-ranking
Information Sciences: an International Journal, Volume 417, Issue C•November 2017, pp 143-153 • https://doi.org/10.1016/j.ins.2017.07.004Similarity measurement is an essential component in image retrieval systems. While previous work is focused on generic distance estimation, this paper investigates the problem of similarity estimation within a local neighborhood defined in the original ...
- Article
Patch reordering: a novel way to achieve rotation and translation invariance in convolutional neural networks
AAAI'17: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence•February 2017, pp 2534-2540Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performance on many visual recognition tasks. However, the combination of convolution and pooling operations only shows invariance to small local location changes in meaningful ...
- research-article
Transform-Invariant Convolutional Neural Networks for Image Classification and Search
MM '16: Proceedings of the 24th ACM international conference on Multimedia•October 2016, pp 1345-1354• https://doi.org/10.1145/2964284.2964316Convolutional neural networks (CNNs) have achieved state-of-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of images. Intuitively, with sufficient ...
- research-article
Scalable Object Retrieval with Compact Image Representation from Generic Object Regions
ACM Transactions on Multimedia Computing, Communications, and Applications, Volume 12, Issue 2•March 2016, Article No.: 29, pp 1-21 • https://doi.org/10.1145/2818708In content-based visual object retrieval, image representation is one of the fundamental issues in improving retrieval performance. Existing works adopt either local SIFT-like features or holistic features, and may suffer sensitivity to noise or poor ...
- research-article
Search by Detection: Object-Level Feature for Image Retrieval
ICIMCS '14: Proceedings of International Conference on Internet Multimedia Computing and Service•July 2014, pp 46-49• https://doi.org/10.1145/2632856.2632923In content-based image retrieval (CBIR), images are usually represented by local invariant features or global features. Although great success has been witnessed, there still exists some non-trivial problems with those features. In this paper, we ...