Ten lectures on wavelets
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Technique for eliminating irrelevant terms in term rewriting for annotated media retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated Region-Based Image Retrieval
Integrated Region-Based Image Retrieval
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Image Segmentation and Compression Using Hidden Markov Models
Image Segmentation and Compression Using Hidden Markov Models
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
A semantic modeling approach for image retrieval by content
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Image classification by a two-dimensional hidden Markov model
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Confidence-based dynamic ensemble for image annotation and semantics discovery
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A bootstrapping approach to annotating large image collection
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
A bootstrapping framework for annotating and retrieving WWW images
Proceedings of the 12th annual ACM international conference on Multimedia
Using One-Class and Two-Class SVMs for Multiclass Image Annotation
IEEE Transactions on Knowledge and Data Engineering
Learning the semantics of multimedia queries and concepts from a small number of examples
Proceedings of the 13th annual ACM international conference on Multimedia
Evaluation strategies for image understanding and retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Linking images and keywords for semantics-based image retrieval
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Real-time computerized annotation of pictures
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Deriving semantic terms for images by mining the web
Proceedings of the 11th International Conference on Electronic Commerce
Hierarchical long-term learning for automatic image annotation
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Naming of image regions for user-friendly image retrieval
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Multimedia semantics integration using linguistic model
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Content-free image retrieval by combinations of keywords and user feedbacks
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Automatic image annotation by mining the web
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Use of adaptive still image descriptors for annotation of video frames
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Learning a ground object manifold for interpreting high-resolution sensor image
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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Automatic linguistic indexing of pictures is an important but highly challenging problem for researchers in computer vision and content-based image retrieval. In this paper, we introduce a statistical modeling approach to this problem. Categorized images are used to train a dictionary of hundreds of concepts automatically based on statistical modeling. Images of any given concept category are regarded as instances of a stochastic process that characterizes the category. To measure the extent of association between an image and the textual description of a category of images, the likelihood of the occurrence of the image based on the stochastic process derived from the category is computed. A high likelihood indicates a strong association. In our experimental implementation, the ALIP (Automatic Linguistic Indexing of Pictures) system, we focus on a particular group of stochastic processes for describing images, that is, the two-dimensional multiresolution hidden Markov models (2-D MHMMs). We implemented and tested the system on a photographic image database of 600 different semantic cat- egories, each with about 40 training images. Tested using 3,000 images outside the training database, the system has demonstrated good accuracy and high potential in linguistic indexing of these test images.