Color-Based Image Retrieval Using Compact Binary Signatures

Chitkara, Vishal

doi:10.7939/r3ng4gv60

2001

DOI: 10.7939/r3ng4gv60

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Color-Based Image Retrieval Using Compact Binary Signatures

Vishal Chitkara¹

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Cited by 7 publications

References 46 publications

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Low level feature extraction methods for Content Based Image Retrieval

Hussain¹,

Rao²,

Mastani³

2015

2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)

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In Content Based Image Retrieval system images from the database are processed and their features are extracted. These features are such that they describe some properties of the image. The features of the images are indexed to determine the similarity between them. However, the retrieved image is the one having maximum similarity with the input image. Several research papers were studied in order to understand the evolution and evaluation techniques of CBIR. In this paper we present the pixel level features for content based image retrieval. We classify the feature extraction methods used and identify some promising techniques for Content Based Image Retrieval according to standard principles.

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Low level feature extraction methods for Content Based Image Retrieval

Hussain¹,

Rao²,

Mastani³

2015

2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)

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Distributed Meeting Scheduler - A Knowledge Based Approach to Schedule Meetings

Nakade¹,

Karule²

2007

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)

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Constraint satisfaction problems or CSPs are mathematical problems where one must find states or objects that satisfy a number of constraints or criteria. CSPs are the subject of intense research in both artificial intelligence and operations research. Many CSPs require a combination of heuristics and combinational methods to be solved in a reasonable time. "DMS -Distributed Meeting Scheduler" is all about the design and implementation of one such application of constraint satisfaction problem -the meeting scheduling problem. The distributed meeting scheduler (DMS) is a user friendly tool developed to assists humans in office environments to schedule meetings efficiently. The algorithm used in the distributed meeting scheduler paves way for negotiation of various processes on behalf of their users and comes up with an agreement on a common meeting time that is acceptable to all the users and abides by all the constraints set by the hosts andattendees. The motive of the algorithm is to obtain a solution based on the knowledge it acquires during the process. In summary the Distributed Meeting Scheduler follows a decision oriented methodology that depends on knowledge based approach.

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Ar .obust content-based image retrieval system using multiple features representations

Tahoun

Nagaty

El-Arief

et al.

Proceedings. 2005 IEEE Networking, Sensing and Control, 2005.

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Color-Based Image Retrieval Using Compact Binary Signatures

Cited by 7 publications

References 46 publications

Low level feature extraction methods for Content Based Image Retrieval

Low level feature extraction methods for Content Based Image Retrieval

Distributed Meeting Scheduler - A Knowledge Based Approach to Schedule Meetings

Ar .obust content-based image retrieval system using multiple features representations

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