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Word Image Retrieval Using Bag of Visual Words
2012 10th IAPR International Workshop on Document Analysis Systems, 2012This paper presents a Bag of Visual Words (BoVW) based approach to retrieve similar word images from a large database, efficiently and accurately. We show that a text retrieval system can be adapted to build a word image retrieval solution. This helps in achieving scalability.
Ravi Shekhar, C.V. Jawahar
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ACM SIGIR Forum, 2008
Current state of the art information retrieval models treat documents and queries as bags of words. There have been many attempts to go beyond this simple representation. Unfortunately, few have shown consistent improvements in retrieval effectiveness across a wide range of tasks and data sets.
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Current state of the art information retrieval models treat documents and queries as bags of words. There have been many attempts to go beyond this simple representation. Unfortunately, few have shown consistent improvements in retrieval effectiveness across a wide range of tasks and data sets.
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Real-time bag of words, approximately
Proceedings of the ACM International Conference on Image and Video Retrieval, 2009We start from the state-of-the-art Bag of Words pipeline that in the 2008 benchmarks of TRECvid and PASCAL yielded the best performance scores. We have contributed to that pipeline, which now forms the basis to compare various fast alternatives for all of its components: (i) For descriptor extraction we propose a fast algorithm to densely sample SIFT ...
Uijlings, J.R.R. +2 more
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Context Dependent Bag of words generation
2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013Query spelling correction is a crucial component in modern text mining systems such as Question-answering systems and Sentiment Analysis systems where noise can affect the query matching score. In many existing query matching systems Bag of Words (BoW) generation method is used to generate candidates for noisy words.
Swapnil Ashok Jadhav +4 more
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Contextual Bag-of-Words for Robust Visual Tracking
IEEE Transactions on Image Processing, 2018An appearance model is critical for most modern trackers. While numerous novel appearance models have been proposed with demonstrated success, challenges such as occlusion and drifting are still not well addressed. In this paper, we propose a novel contextual bag-of-words (CBOW) discriminative appearance model that appropriately handles drifting and ...
Fanxiang Zeng +2 more
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Fractal dimension of bag-of-visual words
Pattern Analysis and Applications, 2018Scene recognition is an important and challenging problem in computer vision. One of the most used scene recognition methods is the bag-of-visual words. Despite the interesting results, this approach does not capture the detail richness of spatial information of the visual words on the image.
Lucas Correia Ribas +5 more
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Accelerating Bag-of-Words with SOM
2019We propose a fast Bag-of-Words (BoW) method for image classification, inspired by the mechanism that arrangement of neurons in visual cortex can preserve the topology of mapping from inputs, and the fact that human brain can retrieve information almost instantly.
Jian-Hui Chen +2 more
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Image Representation with Bag-of-Words
2016Image classification, which is to assign one or more category labels to an image, is a very hot topic in computer vision and pattern recognition. It can be applied in video surveillance, remote sensing, web content analysis, biometrics, etc. Many successful models transform low-level descriptors into richer mid-level representations.
Xiang Xu, Xingkun Wu, Feng Lin
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Photo Context as a Bag of Words
2008 Tenth IEEE International Symposium on Multimedia, 2008In the recent years, photo context metadata (e.g.,date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poorly considered in photo retrieving systems. In order to overcome this limitation, we propose an approach to incorporate contextual metadata in a keyword-based photo retrieval ...
Windson Viana +4 more
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Bag-of-Words Modelling for Speech Recognition
2009 International Conference on Future Computer and Communication, 2009A semantic language modelling method for speech recognition is presented. The method is somehow similar to latent semantic analysis, but it does not need so much memory and training data. Even though it gave better experimental results, provided as percentage of correctly recognized sentences from a corpus.
Bartosz Ziolko +2 more
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