Efficient image retrieval using MPEG-7 descriptors

Wang, Surong; Chia, Liang-Tien; Rajan, Dinesh

doi:10.1109/icip.2003.1247293

Cited by 7 publications

(1 citation statement)

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“…This descriptor avoids the high-dimensional indexing problems associated with the traditional colour histogram [11]. The feature vector consists of the colour index (c i ), percentage (p i ), colour variance (v i ) and special coherency (s) where the last two are optionals [24]. It is defined by,…”

Section: Dominant Colour Descriptor (Dcd)mentioning

confidence: 99%

Compacted Dither Pattern Codes Over MPEG-7 Dominant Colour Descriptor In Video Visual Depiction

Ranathunga

Zainuddin

Abdullah

2010

MJCS

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Reduction of feature space of visual descriptors has become important due to the 'curse of dimensionality' problem. This paper reports the efficiency and effectiveness of the Compacted Dither Pattern Code (CDPC) combined with the Bhattacharyya classifier over MPEG-7 Dominant Colour Descriptor (DCD). Both the CDPC and DCD syntactic features use a compact feature space for colour representation. The algorithmic comparison between the two is presented in this paper, and demonstrates that there are several competitive advantages of CDPC in feature extraction and classification stages when compared to MPEG-7 DCD. The embedded texel properties, spatial colour arrangements, high compactness, and robust feature representation of CDPC have proven its effectiveness in our experimental study. Visual description experiments were conducted for ten irregular shapes-based visual concepts in videos with three setups namely CDPC with Bhattacharyya classifier, DCD without spatial coherency and DCD with spatial coherency. The visual descriptions were performed with the TRECVID 2007 development key frame dataset. The experimental results are presented in terms of three common performance measures. The results show that CDPC with Bhattacharyya classifier provides a good generalised performance for irregular shapes-based visual description as compared to the other experimental setups.

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Section: Dominant Colour Descriptor (Dcd)mentioning

confidence: 99%

Compacted Dither Pattern Codes Over MPEG-7 Dominant Colour Descriptor In Video Visual Depiction

Ranathunga

Zainuddin

Abdullah

2010

MJCS

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Self-Cleaning Hydrophobic Coating Composed of Micro/Nano-Imprinted Polydimethylsiloxane with Enhanced Light In-Coupling Capabilities

Xavier,

Piraviperumal

2024

ACS Appl. Mater. Interfaces

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In this study, we have optimized optically transparent polydimethylsiloxane (PDMS) hydrophobic coating on glass substrates that exhibit self-cleaning as well as enhanced light in-coupling capabilities. Micro/nano textures on the surface of PDMS were introduced through micro/nanoimprinting to achieve light trapping as well as self-cleaning abilities. Comprehensive studies show that the periodic arrangement of the micro/nanopatterned features has enabled enhanced inward transmission of light in the visible range along with superior hydrophobicity. The water contact angle (WCA) measurements on these coatings demonstrated a superior capacity for self-cleaning with a WCA of about 117°. Subsequently, when these transparent and hydrophobic coatings were deposited on commercial silicon solar cells, they showed a 15.8% increment in efficiency due to enhanced light in-coupling with a nanopatterned PDMS coating.

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