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Proceedings ArticleDOI

Neural-fuzzy approach for content-based retrieval of digital video

Siddhivinayak Kulkarni
- Vol. 4, pp 2235-2238
TLDR
A novel neural-fuzzy based approach for retrieving a specific video clip from a video database using error backpropagation algorithm to learn the meaning of queries in fuzzy terms such as "very similar", "similar" and "some-what similar".
Abstract
As digital video databases become more and more pervasive, finding video in large databases becomes a major problem. Because of the nature of video (streamed objects), accessing the content of such databases is inherently a time-consuming operation. The paper proposes a novel neural-fuzzy based approach for retrieving a specific video clip from a video database. Fuzzy logic is used for expressing queries in terms of natural language and a neural network is designed to learn the meaning of these queries. The queries are designed based on features such as colour and texture of shots, scenes and objects in video clips. An error backpropagation algorithm is proposed to learn the meaning of queries in fuzzy terms such as "very similar", "similar" and "some-what similar". Preliminary experiments were conducted on a small video database and different combinations of queries using colour and texture features along with a visual video clip; very promising results were achieved.

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Citations
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Book ChapterDOI

Computational Intelligence in Multimedia Processing: Foundation and Trends

TL;DR: A review of the current literature on CI based approaches to various problems in multimedia computing such as speech, audio and image processing, video watermarking, content-based multimedia indexing and retrieval, and challenges to be addressed and future directions of research are presented.
Book ChapterDOI

Computational intelligence in multimedia processing

TL;DR: Some of the applications of CI in multimedia processing, including shot detection in video, logotype detection, video copy detection and retrieval, and faces coding in video sequences are reviewed.
Proceedings ArticleDOI

Video Segmentation Based on Shot Boundary Coefficient

TL;DR: A novel approach is proposed to detect cuts and gradual shots using shot boundary coefficient (SBC) combined with HSV divisional histogram, and a good compromise between speed and accuracy is achieved.
Book ChapterDOI

Soft computing techniques in content-based multimedia information retrieval.

TL;DR: In the last years, the growing dissemination of digital information and the consequent need to improve the retrieval of this information have given rise to a strong interest for the research in Information Retrieval (IR), a field that is expanding along with the challenges related to the explosion of the Web and the development of information and communication technologies.
References
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Journal ArticleDOI

Query by image and video content: the QBIC system

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 Article

Query by image and video content: the QBIC system

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.
Proceedings ArticleDOI

Photobook: tools for content-based manipulation of image databases

TL;DR: The Photobook system is described, which is a set of interactive tools for browsing and searching images and image sequences that differ from those used in standard image databases in that they make direct use of the image content rather than relying on annotations.
Proceedings ArticleDOI

VideoQ: an automated content based video search system using visual cues

TL;DR: A novel, real-time, interactive system on the Web, based on the visual paradigm, with spatio-temporal attributesplaying a key role in video retrieval, with the user being able to retrieve complex video clips such as those of skiers, baseball players, with ease.
Proceedings ArticleDOI

Compressed-domain video indexing techniques using DCT and motion vector information in MPEG video

TL;DR: A frame-type independent representation of the various types of frames present in an MPEG video in which al frames can be considered equivalent is developed and enable fast archiving, indexing, and retrieval of video.