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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 9 (September 2026) | Submission Deadline: September 30, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-2173

A SURVEY ON CONTENT BASED VIDEO RETRIEVAL USING MPEG-7 VISUAL DESCRIPTORS

Author(s):Kinjal Acharya, Prof. Tushar Ratanpara
Institution:Dharmsinh Desai University, Nadiad, India
Published In:Vol. 4, Issue 3 — March 2017
Page No.:699-705
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

The volume of the video content grows very fast and most of the video search systems are based on manualannotations or use text information. But such information is not always of high quality or lack precision. In the field ofmultimedia technology, video retrieval has become one of the fastest growing research areas. Several methods have beendeveloped for retrieval of videos based on extracting their visual features automatically in recent years. The mostcommonly used low level visual features are colour, texture, shape, motion and spatial-temporal composition. The use ofvisual descriptors of MPEG 7 is to provide interoperability of system because of its standardization. This paper describesthe applications, challenges, methods and limitations of content based video retrieval systems. It also explains theMPEG-7 visual descriptors with their application.

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🕮 How to Cite

Kinjal Acharya, Prof. Tushar Ratanpara, “A SURVEY ON CONTENT BASED VIDEO RETRIEVAL USING MPEG-7 VISUAL DESCRIPTORS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 699-705, March 2017.

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Vol. 13 | Issue 9
September 2026