منابع مشابه
Semiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملImage Retrieval Using Image Context Vectors
The key question for any image retrieval approach is how to represent the images. We are exploring a new image context vector representation that avoids the need for full image understanding. This representation: • is invariant with respect to translation and scaling of (whole) images, • is robust with respect to translation, scaling, small rotations, and partial occlusions of objects within im...
متن کاملsemiautomatic image retrieval using the high level semantic labels
content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. the challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملImage Retrieval Using Image Context Vectors: First Results
The key question for any image retrieval approach is how to represent the images. We are exploring a new image context vector representation that avoids the need for full image understanding. This representation: • is invariant with respect to translation and scaling of (whole) images, • is robust with respect to translation, scaling, small rotations, and partial occlusions of objects within im...
متن کاملSemantic Image Retrieval Using Multiple Features
In Content Based Image Retrieval (CBIR) some problem such as recognizing the similar images, the need for databases, the semantic gap, and retrieving the desired images from huge collections are the keys to improve. CBIR system analyzes the image content for indexing, management, extraction and retrieval via low-level features such as color, texture and shape. To achieve higher semantic perform...
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ژورنال
عنوان ژورنال: Journal of Information Processing and Management
سال: 1994
ISSN: 0021-7298,1347-1597
DOI: 10.1241/johokanri.37.579