A constraint-based approach to shape management in multimedia databases

Bertino, Elisa; Catania, Barbara

doi:10.1007/s005300050072

Cited by 15 publications

(4 citation statements)

References 38 publications

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“…Relative position of parts of a complex shape can be expressed in a constraint relational calculus in the work by Bertino and Catania (1998). However, reasoning about queries (containment and emptiness) is not considered in this approach.…”

Section: Logic-based and Structured Approachesmentioning

confidence: 99%

Structured Knowledge Representation for Image Retrieval

Sciascio

Donini

Mongiello

2002

jair

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We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects.As other approaches do, we start from low-level features extracted with image analysis to detect and characterize regions in an image. However, in contrast with feature-based approaches, we provide a syntax to describe segmented regions as basic objects and complex objects as compositions of basic ones. Then we introduce a companion extensional semantics for defining reasoning services, such as retrieval, classification, and subsumption. These services can be used for both exact and approximate matching, using similarity measures.Using our logical approach as a formal specification, we implemented a complete clientserver image retrieval system, which allows a user to pose both queries by sketch and queries by example. A set of experiments has been carried out on a testbed of images to assess the retrieval capabilities of the system in comparison with expert users ranking. Results are presented adopting a well-established measure of quality borrowed from textual information retrieval.

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Section: Logic-based and Structured Approachesmentioning

confidence: 99%

Structured Knowledge Representation for Image Retrieval

Sciascio

Donini

Mongiello

2002

jair

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“…Thus, it is inappropriate for domains such as medical imaging, TV production, multimedia, art history, geology, satellite image databases, etc., where the context is ambiguous, unstructured, or simply absent. -The abstraction approach is built on the physical (low-level) properties of the image such as color histogram [5], texture [6,7], shape [8,9], edge [10,11], etc. The abstraction approach is applied to domains where the possibility of using manual procedures is almost impossible because of the multitude of images (TV databases, museum databases, etc.).…”

Section: Introductionmentioning

confidence: 99%

A Four-dimensional Approach to Medical Image Retrieval

Chbeir

Amghar²,

Flory³

2001

Methods Inf Med

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Abstract:Image retrieval is faced with different problems. Few proposed solutions consider the heterogeneity of user competence (e.g. physicians, researchers, students, etc.) and the necessity of a high expressive power for medical image description. This paper presents a solution designed for medical imaging retrieval. It consists of providing a four-dimensional approach able to integrate different views of the medical image, to deal with complex medical queries. Via use of the Spatial Knowledge Model, we propose hybrid (textual and visual) and customizable interfaces, appropriate for non-computer scientist users. Our prototype, accessible through the Web, has been tested by a group of medical students and physicians and gives very satisfactory results.

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“…Issues in applying constraint database technology to this problem have been presented in [4]. Prototypes have experimentally proved the advantages in using constraint technology with respect to other technologies in modeling some of the applications cited above.…”

Section: Constraint Databasesmentioning

confidence: 97%

Reusing mechanical engineering design

Lacroix

Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications

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Abstmet-Designin mechanical engineering is often re-design itself is generally not indexed and no direct =cess ~ -design a n d involves retrieving similar designs from various integrated design repositories or paper drawings. To supto the portion of the geometry that satisfies the property port designers a SyStem must provide valid designs t h a t satisfy to previous satisfy requirements, validated by the index is provided. The selection of the properties and characteristics used to index design data constrain the level of expression in the retrieval phase.ally designed for a specific domain usage such as feature functions, or Characteristics, and allow t h e integration a n d transformation of t h e retrieved designs into a new design t h a t meets t h e new design specifications. Many approaches accessing dcsigns for their new design needs. Most of exhas significant consequences, Indeed, selected attributes have been developed in t h e past to support designers in In general, retrieval approaches for design data are usuisting approaches t y p i c a l b store design documents as files ments through t h e indexing the entire file and do not offer designers t h e ability t h e express more complex retrieval queries or simply queries different from t h e Ones pre-computed in t h e index. No existing approach appears t o offer a real query language to retrieve cases for engineering design in various contexts represented by the geomet r y and topology of a finished design. I n these systems, retrieval queries usually are Boolean expressions of terms consisting of valued attributes a s represented through t h e indices (or Pre-comDuted annotations). In addition. these or -materjal.driven retrieval and usually-lack efficiency to handle large data repositories. These approaches do not provide a real query language but rather limited query interfaces that rely heavily upon indexed systems such as the expert driven questionnaires in Conversational CBD [I], tabular [2], frame based [9], or function structures [21]. Retrieval queries usually are Boolean expressions of terms consisting of valued attributes as represented through the a n d provide a n additional s t r u c t u r e t o access t h e docu-. . approaches usually d o not provide a framework for design integration (when components extracted from several designs must be integrated t o meet t h e new requirements), or transformation (when a component is similar b u t needs t o b e transformed t o meet t h e new specification) as needed t oThe limitations of existing approaches include: 1, queries limited to pre-computed of the drawing, as opposed to the design data themselves; 2. retrieval of a whole file instead of the extraction of geometric components of a given design that satisfy specified properties; 3. domain specific retrieval approaches, as opposed to a s u p p o r t mechanical engineering design reuse. In this paper we present an approach t o support mechanical design d a t a reuse t h a t exploits constmint databasea. This approach provides a real query lan...

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A constraint-based approach to shape management in multimedia databases

Cited by 15 publications

References 38 publications

Structured Knowledge Representation for Image Retrieval

Structured Knowledge Representation for Image Retrieval

A Four-dimensional Approach to Medical Image Retrieval

Reusing mechanical engineering design

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