A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Automatic Image Annotation Using Maximum Entropy Model
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A Maximum Entropy Model-based approach to the task of automatic image annotation is proposed in this paper. ...
Model in the task of automatic image annotation. ...
Their Translation Model uses machine translation model Ⅰ of IBM to annotate a test set of images based on a large number of annotated training images. ...
doi:10.1007/11562214_4
fatcat:4mkfcthddbcdfchkvsxynczywi
A Survey on Automatic Image Annotation and Retrieval
2015
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Automatic image annotation technique can be based on various things either it can observe the images various ways either in texture bases, colour intensity basis or faces included or involved into the ...
It is a process of machine learning where low level features of images are extracted, clustered and mapped to the semantic. This can be based on training set of data. ...
AUTOMATIC IMAGE ANNOTATION Image Annotation or tagging on the image automatically required its indexing and can be done on the various bases-the linguistics is the easiest way to distinguish which was ...
doi:10.5120/20863-3575
fatcat:rllnqwclezcnvm5j5qfbqcjhaq
Improving Web-Based Learning: Automatic Annotation of Multimedia Semantics and Cross-Media Indexing
[chapter]
2004
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
A novel algorithm is proposed for automatic annotation of image based on support vector machine and statistical learning. ...
In addition, we construct cross-media indexing for multi-modal data upon the annotation result to support cross-media search. ...
Conclusions and Future Work In this paper, we propose an automatic image annotation algorithm based on SVM and statistical learning. ...
doi:10.1007/978-3-540-27859-7_33
fatcat:b2xnjcl3dfbubmfg7gaoy57nzm
Review: Automatic Semantic Image Annotation
2016
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper aims to cover a review on different Models (MT, CRM, CSD-Prop, SVD-COS and CSD-SVD) for automating the process of image annotation as an intermediate step in image retrieval process using Corel ...
There are many approaches for automatic annotation in digital images. ...
The word-based graph learning was performed by exploring three kinds of word correlations. One is the word co-occurrence in the training set, and the other two are derived from the web context. ...
doi:10.24297/ijct.v15i12.4357
fatcat:i2ckwkzicbgnvfl6k3suy2bie4
Multi Label Image Annotation for Weakly Labeled Images using Discriminative Dictionary
2015
International Journal of Engineering Research and
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Image annotation is one of the classical problem in computer vision. With the popularity of online photo sharing websites automatic image annotation is an interesting service for users. ...
Image annotation tells the objects in an image. This paper presents a multi label image annotation framework for weakly labeled training images by learn the dictionary embedded with semantic label. ...
The different types of automatic image annotation are single labeling annotation, multi-labeling annotation and web based image annotation [1] . ...
doi:10.17577/ijertv4is090677
fatcat:yw4bqr4zfrde7en4ea7pegahl4
Automatic image annotation and retrieval using cross-media relevance models
2003
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Here, we propose an automatic approach to annotating and retrieving images based on a training set of images. We assume that regions in an image can be described using a small vocabulary of blobs. ...
However, manual image annotation is an expensive and labor intensive procedure and hence there has been great interest in coming up with automatic ways to retrieve images based on content. ...
Our annotation-based model performs much better than either the Co-occurrence Model or the Translation Model on the same dataset (same training and test images and the same features). ...
doi:10.1145/860435.860459
dblp:conf/sigir/JeonLM03
fatcat:5zkmdin26ffhbgdjrdwcentnui
Automatic image annotation and retrieval using cross-media relevance models
2003
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Here, we propose an automatic approach to annotating and retrieving images based on a training set of images. We assume that regions in an image can be described using a small vocabulary of blobs. ...
However, manual image annotation is an expensive and labor intensive procedure and hence there has been great interest in coming up with automatic ways to retrieve images based on content. ...
Our annotation-based model performs much better than either the Co-occurrence Model or the Translation Model on the same dataset (same training and test images and the same features). ...
doi:10.1145/860458.860459
fatcat:ei2fpi46cbf2bdced5w24f2w3i
Improving Automatic Image Tagging Using Temporal Tag Co-occurrence
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Existing automatic image annotation (AIA) systems that depend solely on low-level image features often produce poor results, particularly when annotating real-life collections. ...
Tag co-occurrence has been shown to improve image annotation by identifying additional keywords associated with user-provided keywords. ...
In this work we present a novel temporal based tag co-occurrence technique for the improvement of a state-of-the-art SVM based automatic image annotation model. ...
doi:10.1007/978-3-642-35728-2_24
fatcat:77ax6l2xqjf63jo2gwvbyuhlry
An Improvement Approach Based on the Label Correlation for Automatic Image Annotation
2017
International Journal of Electrical Energy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The experimental results confirm that the proposed approach of label set based on the measure of label correlation can improve the efficiency of automatic image annotation systems and achieve better annotation ...
performance than the existing Automatic Image Annotation (AIA) approaches. Index Terms-automatic image annotation, image retrieval, an improvement algorithm, label correlation, annotation performance ...
With the rapid growth of the digital images collections, various Automatic Image Annotation (AIA) approaches based on machine learning and statistical models have been proposed [1] - [5] . ...
doi:10.18178/ijoee.5.1.96-100
fatcat:3gqdt46dibfk5n4es7zjck6mxy
An HMM-SVM-Based Automatic Image Annotation Approach
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The proposed HMM-SVM based approach comprises two different kinds of HMMs based on image color and texture features as the first-stage mapping scheme and an SVM which is based on the prediction results ...
This paper presents a novel approach to Automatic Image Annotation (AIA) which combines both Hidden Markov Model (HMM) and Support Vector Machine (SVM). ...
Conclusion In this paper, we proposed an approach for Automatic Image Annotation based on the concept of two-stage mapping. ...
doi:10.1007/978-3-642-19282-1_10
fatcat:a3unxcyk3fatdh3a5oeuedzpye
Symmetric Statistical Translation Models for Automatic Image Annotation
[chapter]
2005
Proceedings of the 2005 SIAM International Conference on Data Mining
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
Automatic image annotation provides means for users to search image collections on the semantic level using natural language queries. ...
In the past, statistical machine translation models have been successfully applied to automatic image annotation. ...
Similar to the previous studies on automatic image annotation, the quality of automatic image annotation is measured by the performance of retrieving auto-annotated images regarding to single-word queries ...
doi:10.1137/1.9781611972757.72
dblp:conf/sdm/KangJ05
fatcat:7b2quvxswfc4hnqztewf5r6irq
A Probability Model for Image Annotation
2007
Multimedia and Expo, 2007 IEEE International Conference on
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Experiments conducted on standard Corel dataset demonstrate the effectiveness of the proposed method for image automatic annotation. ...
Automatic image annotation is a promising solution to enable more effective image retrieval by keywords. ...
Based on abundant training samples, these models determine the correspondence between keywords and image visual tokens/regions, and then use this association to annotate images that do not have captions ...
doi:10.1109/icme.2007.4284778
dblp:conf/icmcs/GeHGZW07
fatcat:cpr6dk6pmbccfm532yv7s7f35y
Multimedia search and retrieval using multimodal annotation propagation and indexing techniques
2013
Signal processing. Image communication
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The content-based similarity of the multimodal descriptors is also used to automatically annotate the objects of the dataset using a predefined set of attributes. ...
A manifold learning technique based on Laplacian Eigenmaps was appropriately modified in order to merge the low-level descriptors of each separate modality and create a new low-dimensional multimodal feature ...
During the on-line mode, the trained classifier assigns automatically attributes (classifies) to the non-annotated COs without any external help. ...
doi:10.1016/j.image.2012.04.001
fatcat:h6eto4v6nnazdj6e5yvveqcmom
A Novel Automatic Image Annotation Method Based on Multi-Instance Learning
2011
Procedia Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
According to the intrinsic character of AIA, which is many regions contained in the annotated image, AIA Based on the framework of multi-instance learning (MIL) is proposed in this paper. ...
Automatic image annotation (AIA) is the bridge of high-level semantic information and the low-level feature. AIA is an effective method to resolve the problem of "Semantic Gap". ...
that we proposed a method to annotated images automatically based on multi-instance learning. ...
doi:10.1016/j.proeng.2011.08.644
fatcat:666wdfmcojfd7mm6mcp7xjjs6e
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
[article]
2024
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
For example, an automatic annotation pipeline based solely on input images can be realized by incorporating models such as BLIP and Recognize Anything. ...
Grounded SAM also shows superior performance on open-vocabulary benchmarks, achieving 48.7 mean AP on SegInW (Segmentation in the wild) zero-shot benchmark with the combination of Grounding DINO-Base and ...
based on a text. ...
arXiv:2401.14159v1
fatcat:hh2oaburnffjnemzpld564qynu
« Previous
Showing results 1 — 15 out of 48,573 results