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» Using Maximum Entropy for Automatic Image Annotation
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COLING
2010
13 years 2 months ago
An Exploration of Features for Recognizing Word Emotion
Emotion words have been well used as the most obvious choice as feature in the task of textual emotion recognition and automatic emotion lexicon construction. In this work, we exp...
Changqin Quan, Fuji Ren
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 1 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
CIKM
2004
Springer
14 years 1 months ago
Regularizing translation models for better automatic image annotation
The goal of automatic image annotation is to automatically generate annotations for images to describe their content. In the past, statistical machine translation models have been...
Feng Kang, Rong Jin, Joyce Y. Chai
CVPR
2007
IEEE
14 years 10 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
ICIP
2009
IEEE
14 years 9 months ago
Automatic Frontal Face Annotation And Aam Building For Arbitrary Expressions From A Single Frontal Image Only
In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A ...