Keyword and Image Content Features for Image Indexing and Retrieval Within Compressed Domain  

Oleh:

Irianto, Y. Suhendro

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Jurnal Informatika vol. 10 no. 2 (Nov. 2009), page 73-78.
Topik: CBIR; High Level; Low Level Features; Recall; Precision

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ103 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The central problem of most Content Based Image Retrieval approaches is poor quality in terms of sensitivity (recall) and specificity (precision). To overcome this problem, the semantic group gap between high-level concepts and low-level features has been acknowledged. In this paper we introduce an approach to reduce the impact of the semantic gap by integrating high-level (semantic) and low-level features to improve the quality of Image Retrieval quires. Our experiments have been carried out by applying two hierarchical procedures. The first approach is called keyword-content, and the second content-keyword. Our proposed approaches show better results compared to a single method (keyword or content based) in term of recall and precision. The average precision has increased by up to 50%.

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