Journal ArticleDOI
Semantics in visual information retrieval
TLDR
A compositional approach increases the level of representation that can be automatically extracted and used in a visual information retrieval system.Abstract:
A compositional approach increases the level of representation that can be automatically extracted and used in a visual information retrieval system. Visual information at the perceptual level is aggregated according to a set of rules. These rules reflect the specific context and transform perceptual words into phrases capturing pictorial content at a higher, and closer to the human, semantic level.read more
Citations
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Journal ArticleDOI
Text information extraction in images and video: a survey
TL;DR: A large number of techniques to address the problem of text information extraction are classified and reviewed, benchmark data and performance evaluation are discussed, and promising directions for future research are pointed out.
Proceedings ArticleDOI
Affective image classification using features inspired by psychology and art theory
Jana Machajdik,Allan Hanbury +1 more
TL;DR: This work investigates and develops methods to extract and combine low-level features that represent the emotional content of an image, and uses these for image emotion classification.
Journal ArticleDOI
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: A unifying and multimodal framework is put forward, which views a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: In this paper, a unifying and multimodal framework is proposed to view a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Journal ArticleDOI
A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video
TL;DR: This paper presents a comprehensive survey of the use of these pattern recognition methods which enable image and video retrieval bycontent in the media archives.
References
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Journal ArticleDOI
Query by image and video content: the QBIC system
Myron D. Flickner,Harpreet Sawhney,W. Niblack,Jonathan Ashley,Qian Huang,Byron Dom,Monika Gorkani,James Lee Hafner,D. Lee,Dragutin Petkovic,David Steele,Peter Cornelius Yanker +11 more
TL;DR: The Query by Image Content (QBIC) system as discussed by the authors allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Proceedings ArticleDOI
VisualSEEk: a fully automated content-based image query system
John R. Smith,Shih-Fu Chang +1 more
TL;DR: The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions by utilizing color information, region sizes and absolute and relative spatial locations.
Proceedings Article
Query by image and video content: the QBIC system
Myron D. Flickner,Harpreet Sawhney,W. Niblack,Jonathan Ashley,Qian Huang,Byron Dom,Monika Gorkani,James Lee Hafner,D. Lee,Dragutin Petkovic,David Steele,Peter Cornelius Yanker +11 more
TL;DR: The Query by Image Content (QBIC) system as mentioned in this paper allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Book
Art and Visual Perception, a Psychology of the Creative Eye
TL;DR: Arnheim as mentioned in this paper cast the visual process in psychological terms and described the creative way one's eye organizes visual material according to specific psychological premises, and this work has established itself as a classic.
Proceedings ArticleDOI
Similarity indexing with the SS-tree
David A. White,Ramesh Jain +1 more
TL;DR: This work describes the fundamental types of "similarity queries" that should be supported and proposes a new dynamic structure for similarity indexing called the similarity search tree or SS-tree, which performs better than the R*-tree in nearly every test.