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Leveraging auxiliary text terms for automatic image annotation
2011
Proceedings of the 20th international conference companion on World wide web - WWW '11
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This paper proposes a novel algorithm to annotate web images by automatically aligning the images with their most relevant auxiliary text terms. ...
images and their auxiliary terms. ...
We therefore propose an unsupervised algorithm to leverage auxiliary text term extracted from associated text to annotate web images. ...
doi:10.1145/1963192.1963281
dblp:conf/www/ZhouSPFF11
fatcat:wh4f3z7iovgtphlxzt5pdlpeoy
Search-based automatic image annotation via Flickr photos using tag expansion
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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Index Terms-Search-based automatic image annotation, tag expansion ...
Exponentially growing photo collections motivate the needs for automatic image annotation for effective manipulations (e.g., search, browsing). ...
Recently, researchers [3, 4, 5] begin to leverage the rich resources on the Web for automatic image annotation. ...
doi:10.1109/icassp.2010.5496215
fatcat:6ysc67uoejgx3i4bdosuuoztlu
T-IRS
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
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In this demonstration, we present a (quasi) real-time textual query based image retrieval system (T-IRS) for consumer photos by leveraging millions of web images and their associated rich textual descriptions ...
After a user provides a textual query (e.g., "boat"), our system automatically finds the positive web images that are related to the textual query "boat" as well as the negative web images which are irrelevant ...
by leveraging the pre-learned decision stump ensemble classifier (referred to as auxiliary classifier). ...
doi:10.1145/1631272.1631479
dblp:conf/mm/LiuXTL09a
fatcat:pc3q53duyzae3aiqerzpbdbvpy
Using large-scale web data to facilitate textual query based retrieval of consumer photos
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
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In this paper, we present a (quasi) real-time textual query based personal photo retrieval system by leveraging millions of web images and their associated rich textual descriptions (captions, categories ...
After a user provides a textual query (e.g., "pool"), our system exploits the inverted file method to automatically find the positive web images that are related to the textual query "pool" as well as ...
The authors also thank Yi Yang for his helpful discussions and suggestions. ...
doi:10.1145/1631272.1631283
dblp:conf/mm/LiuXTL09
fatcat:5yoap3corzgmtjosivf5ql2fwy
Discriminative Factor Alignment across Heterogeneous Feature Space
[chapter]
2012
Lecture Notes in Computer Science
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In situations where the training data in a target domain are not sufficient to learn predictive models effectively, transfer learning leverages auxiliary source data from related domains for learning. ...
and images. ...
We thank Weinan Zhang and Erheng Zhong for discussions. We thank the support of grants from NSFC-RGC joint research project HKUST 624/09 and 60931160445. ...
doi:10.1007/978-3-642-33486-3_48
fatcat:3gwvso7n6ffgveb4cz2sdsse4m
Multi-cue Zero-Shot Learning with Strong Supervision
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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To compensate for the weaker form of auxiliary information, we incorporate stronger supervision in the form of semantic part annotations on the classes from which we transfer knowledge. ...
The most successful zero-shot learning approaches currently require a particular type of auxiliary information -namely attribute annotations performed by humans -that is not readily available for most ...
We argue that ultimately zero-shot learning techniques should leverage the same "auxiliary information" in terms of text books and online articles that humans use, as those are readily available in large ...
doi:10.1109/cvpr.2016.14
dblp:conf/cvpr/AkataMFS16
fatcat:wv5o4wbrmbhgfeodbytgudp3ym
Multi-Cue Zero-Shot Learning with Strong Supervision
[article]
2016
arXiv
pre-print
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To compensate for the weaker form of auxiliary information, we incorporate stronger supervision in the form of semantic part annotations on the classes from which we transfer knowledge. ...
The most successful zero-shot learning approaches currently require a particular type of auxiliary information -- namely attribute annotations performed by humans -- that is not readily available for most ...
We argue that ultimately zero-shot learning techniques should leverage the same "auxiliary information" in terms of text books and online articles that humans use, as those are readily available in large ...
arXiv:1603.08754v1
fatcat:dtsh5b3wxnagfomn4gte3rz25i
Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets
[article]
2016
arXiv
pre-print
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Our experiments on images of a hawkmoth in flight show that our proposed approach significantly improves over existing work [27] for this application, while also being more generally applicable. ...
Our unique High-Resolution Moth Flight (HRMF) dataset is made publicly available with annotations. ...
Figure 2 . 2 Illustrating example of how auxiliary parts are leveraged: (a) Input test image. ...
arXiv:1605.00707v1
fatcat:muufpvzkfrcubgf2qs2t2uembm
Textual Query of Personal Photos Facilitated by Large-Scale Web Data
2011
IEEE Transactions on Pattern Analysis and Machine Intelligence
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On the other hand, as an emerging paradigm, web data-based methods leverage millions of web images and the associated rich textual descriptions for image annotation. ...
However, to obtain the initial annotations, the users are required to describe each photo album using textual terms, which are then submitted to an online image server (such as Flickr.com) to search for ...
To automatically retrieve consumer photos using textual queries, we choose to leverage millions of web images and their surrounding texts as the bridge between the domains of the web images and the consumer ...
doi:10.1109/tpami.2010.142
pmid:20714015
fatcat:xpcvwx75gzbzlkyprakslzxqmi
Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement
2012
IEEE transactions on multimedia
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Therefore, the existing solutions for image retrieval rely on either the image contents (e.g., low-level features) or the surrounding texts (e.g., descriptions, tags) only. ...
In this work, we tackle the problem by leveraging both the image contents and associated textual information in the social media to approximate the semantic representations for the two modalities. ...
It can not only help to retain representative tags for each image but also automatically derive meaningful tags to annotate unlabeled images. ...
doi:10.1109/tmm.2012.2190386
fatcat:midugvtgbfefzgmewb5soaesda
M2FN: Multi-step modality fusion for advertisement image assessment
2021
Applied Soft Computing
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2021 accepted arXiv:2102.00441v4 fatcat:lrkcqb2yjfecja3hwach2hohaaOther Versions
Although recent studies have attempted to use deep neural networks for this purpose, these studies have not utilized image-related auxiliary attributes, which include embedded text frequently found in ...
ad dataset with rich auxiliary attributes. ...
The authors thank NAVER AI LAB, NAVER CLOVA for constructive discussion and LINE Corp. for preparing data. ...
doi:10.1016/j.asoc.2021.107116
fatcat:lutrwy3ycvdrtfvw7mvca6ozcu
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
[article]
2018
arXiv
pre-print
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Distant supervision has emerged as a promising paradigm for exploiting such indirect supervision by automatically annotating examples where the text description contains a class mention in the lexicon. ...
In this paper, we introduce an auxiliary natural language processing system for the text modality, and incorporate co-training to reduce noise and augment signal in distant supervision. ...
EZLearn leverages domain lexicons to annotate noisy examples from text, similar to distant supervision [Mintz et al., 2009] . ...
arXiv:1709.08600v3
fatcat:gupmggcivfapva7hrv327q7khm
EZLearn: Exploiting Organic Supervision in Automated Data Annotation
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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Distant supervision has emerged as a promising paradigm for exploiting such indirect supervision by automatically annotating examples where the text description contains a class mention in the lexicon. ...
In this paper, we introduce an auxiliary natural language processing system for the text modality, and incorporate co-training to reduce noise and augment signal in distant supervision. ...
EZLearn leverages domain lexicons to annotate noisy examples from text, similar to distant supervision [Mintz et al., 2009] . ...
doi:10.24963/ijcai.2018/568
dblp:conf/ijcai/GrechkinPH18
fatcat:sq6vmhjy3zf5ph3yvh6qwiuzke
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
[article]
2021
arXiv
pre-print
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In this survey paper, we provide a review of previous techniques that focuses on optimized data annotation and labeling for video, audio, and text data. ...
Machine learning has been utilized to perform tasks in many different domains such as classification, object detection, image segmentation and natural language analysis. ...
Authors train the auto-annotated data to develop an auxiliary Long Short-Term Memory (LSTM) representation. ...
arXiv:2109.03784v1
fatcat:uu55zfmtajcvdjekxeaue76izy
Improvement of Ancient Shui Character Recognition model Based on convolutional neural network
2020
IEEE Access
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Then the unsupervised density clustering algorithm of information entropy can automatically annotate the text image for saving labor. ...
annotation of text or images based on the density and the information entropy. ...
doi:10.1109/access.2020.2972807
fatcat:stctetbnezendavm34xoxmtg5u
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