Imense
Encyclopedia
Imense Ltd is a UK based company that develops technology for Content-based image retrieval
and automatic image annotation
.
first 'Ontological Query Evaluation Language' (OQUEL) for image retrieval
, which mapped a plain text
user query onto a query over automatically recognized visual content in a corpus of images.
Technology derived in spirit from OQUEL is in routine use on the Imense PictureSearch portal.
The user interface
allows a user to type a plain text query that is probabilistically parsed to recognise visual aspects (like 'purple center green background' or 'group of five people')
and non visual aspects (e.g. 'freedom' or 'Buddhism' or 'Parma ham').
The issues associated with scaling up image search to cope with tens of millions or more images were addressed with active
support from the Science and Technology Facilities Council
and GridPP.
News articles about Imense search technology include.
s include:
The research focus of Imense Ltd remains ontology based image content recognition. Imense uses cutting edge techniques from machine learning
to build and train extremely high dimensional classifiers to help semantically label things in the visual world. Imense appears to use different types of visual models for different object classes — for example, Bayesian Constrained Local Models for parametric face modeling, and SVMs
for general semantic content labeling.
Content-based image retrieval
Content-based image retrieval , also known as query by image content and content-based visual information retrieval is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases....
and automatic image annotation
Automatic image annotation
Automatic image annotation is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image...
.
Imense
The founders of Imense are Dr Christopher Town and Dr David Sinclair. In their academic lives they developed thefirst 'Ontological Query Evaluation Language' (OQUEL) for image retrieval
Image retrieval
An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so that...
, which mapped a plain text
Plain text
In computing, plain text is the contents of an ordinary sequential file readable as textual material without much processing, usually opposed to formatted text....
user query onto a query over automatically recognized visual content in a corpus of images.
Technology derived in spirit from OQUEL is in routine use on the Imense PictureSearch portal.
The user interface
User interface
The user interface, in the industrial design field of human–machine interaction, is the space where interaction between humans and machines occurs. The goal of interaction between a human and a machine at the user interface is effective operation and control of the machine, and feedback from the...
allows a user to type a plain text query that is probabilistically parsed to recognise visual aspects (like 'purple center green background' or 'group of five people')
and non visual aspects (e.g. 'freedom' or 'Buddhism' or 'Parma ham').
The issues associated with scaling up image search to cope with tens of millions or more images were addressed with active
support from the Science and Technology Facilities Council
Science and Technology Facilities Council
The Science and Technology Facilities Council is a UK government body that carries out civil research in science and engineering, and funds UK research in areas including particle physics, nuclear physics, space science and astronomy .-History:It was formed in April 2007 as a merger of the Particle...
and GridPP.
News articles about Imense search technology include.
Research
Key papers describing the birth and evolution of ontological query languageQuery language
Query languages are computer languages used to make queries into databases and information systems.Broadly, query languages can be classified according to whether they are database query languages or information retrieval query languages...
s include:
The research focus of Imense Ltd remains ontology based image content recognition. Imense uses cutting edge techniques from machine learning
to build and train extremely high dimensional classifiers to help semantically label things in the visual world. Imense appears to use different types of visual models for different object classes — for example, Bayesian Constrained Local Models for parametric face modeling, and SVMs
Support vector machine
A support vector machine is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis...
for general semantic content labeling.
External links
- imense.com Content based image search portal.
- annotator.imense.com Statistical assisted image annotation site.