Color Content Matching of MPEG-4 Video Objects

Authors:
Berna Erol;Faouzi Kossentini
Affiliations:
-;-
Venue:
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2001

Citing 5
Cited 2

Exploiting the JPEG Compression Scheme for Image Retrieval

IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual information retrieval

Visual information retrieval
Image retrieval based on energy histograms of the low frequency DCT coefficients

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
On the Use of Histograms for Image Retrieval

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Automatic key video object plane selection using the shapeinformation in the MPEG-4 compressed domain

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Retrieval of objects in video by similarity based on graph matching

Pattern Recognition Letters
A heuristic for the retrieval of objects in video in the framework of the rough indexing paradigm

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Abstract

Color histogram is one of the most widely used visual feature representations in content-based retrieval. When processing the image/video data in the JPEG/MPEG compressed domains, the DC coefficients are used commonly to form the color histograms without fully decompressing the image or the video bit stream. In this paper, we address the issues arising from the adaptation of DC based color histograms to the arbitrarily shaped MPEG-4 video objects. More specifically, we discuss the color space selection, quantization, and histogram computation with the consideration of the specific characteristics of the MPEG-4 video objects. We also propose a method for reducing the chroma keying artifacts that may occur at the boundaries of the objects. The experimental results show that great retrieval performance improvements are achieved by employing the proposed method in the presence of such artifacts.