IEEE Trans Image Process - Content-based image retrieval using features extracted from halftoning-based block truncation coding.

Tópicos

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Resumo

This paper presents a technique for content-based image retrieval (CBIR) by exploiting the advantage of low-complexity ordered-dither block truncation coding (ODBTC) for the generation of image content descriptor. In the encoding step, ODBTC compresses an image block into corresponding quantizers and bitmap image. Two image features are proposed to index an image, namely, color co-occurrence feature (CCF) and bit pattern features (BPF), which are generated directly from the ODBTC encoded data streams without performing the decoding process. The CCF and BPF of an image are simply derived from the two ODBTC quantizers and bitmap, respectively, by involving the visual codebook. Experimental results show that the proposed method is superior to the block truncation coding image retrieval systems and the other earlier methods, and thus prove that the ODBTC scheme is not only suited for image compression, because of its simplicity, but also offers a simple and effective descriptor to index images in CBIR system.

Resumo Limpo

paper present techniqu contentbas imag retriev cbir exploit advantag lowcomplex ordereddith block truncat code odbtc generat imag content descriptor encod step odbtc compress imag block correspond quantiz bitmap imag two imag featur propos index imag name color cooccurr featur ccf bit pattern featur bpf generat direct odbtc encod data stream without perform decod process ccf bpf imag simpli deriv two odbtc quantiz bitmap respect involv visual codebook experiment result show propos method superior block truncat code imag retriev system earlier method thus prove odbtc scheme suit imag compress simplic also offer simpl effect descriptor index imag cbir system

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