A technique that enables specifying complex queries in image databases using pictorial query trees is presented. The leaves of a pictorial query tree correspond to individual pictorial queries that specify which objects should appear in the target images as well as how many occurrences of each object are required. In addition, the minimum re-quired certainty of matching between query-image objects and database-image objects, as well as spatial constraints that specify bounds on the distance between objects and the relative direction between them are also specified. In-ternal nodes in the query tree represent logical operations (AND, OR, XOR) and their negations on the set of pictorial queries (or subtrees) represented by its children. The s...
This letter presents a two-stage statistical approach for ``exploring and explaining'' a pictorial d...
The explosion of storage media size and bandwidth has led to huge image databases. Methods are neede...
this paper, we describe a general-purpose pictorial retrieval system based on approximate matching. ...
A technique that enables specifying complex queries in image databases using pictorial query trees i...
A pictorial query specification technique that enables the formulation of complex pictorial queries ...
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
This paper presents an Object Manager that stores medical images as a data type of attributes that c...
This thesis presents a novel paradigm known as the 'Pictorial Dictionary' for the content-based imag...
Pictorial databases require efficient and direct spatial search based on the analog form of spatial ...
this paper we describe a Pictorial Query-By-Example (PQBE) language aimed at the retrieval of direct...
Record-keeping and decision-making are increasingly based on data stored in computer processable dat...
To efficiently solve the image retrieval problem in an image database, many techniques have been dev...
In the last years a great deal of content-based techniques for image indexing and retrieval has been...
In the last years a great deal of content-based techniques for image indexing and retrieval has been...
VisualSEEk is a highly functional image database manipulation system that provides advanced user too...
This letter presents a two-stage statistical approach for ``exploring and explaining'' a pictorial d...
The explosion of storage media size and bandwidth has led to huge image databases. Methods are neede...
this paper, we describe a general-purpose pictorial retrieval system based on approximate matching. ...
A technique that enables specifying complex queries in image databases using pictorial query trees i...
A pictorial query specification technique that enables the formulation of complex pictorial queries ...
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
This paper presents an Object Manager that stores medical images as a data type of attributes that c...
This thesis presents a novel paradigm known as the 'Pictorial Dictionary' for the content-based imag...
Pictorial databases require efficient and direct spatial search based on the analog form of spatial ...
this paper we describe a Pictorial Query-By-Example (PQBE) language aimed at the retrieval of direct...
Record-keeping and decision-making are increasingly based on data stored in computer processable dat...
To efficiently solve the image retrieval problem in an image database, many techniques have been dev...
In the last years a great deal of content-based techniques for image indexing and retrieval has been...
In the last years a great deal of content-based techniques for image indexing and retrieval has been...
VisualSEEk is a highly functional image database manipulation system that provides advanced user too...
This letter presents a two-stage statistical approach for ``exploring and explaining'' a pictorial d...
The explosion of storage media size and bandwidth has led to huge image databases. Methods are neede...
this paper, we describe a general-purpose pictorial retrieval system based on approximate matching. ...
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