Fast Method for Joint Retrieval and Identification of JPEG Coded Images Based on DCT Sign

Arnia, Fitri; Iizuka, Ikue; Fujiyoshi, Masaaki; Kiya, Hitoshi

doi:10.1109/icip.2007.4379134

Cited by 12 publications

(6 citation statements)

References 9 publications

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“…The DCT coefficients have been widely used for compressed domain retrieval and it is known that the DC component and first two AC coefficients contain the main structural information of the image [32][33][34]. In this work, the DCT coefficients are employed as a relevance metric for feature selection.…”

Section: Dct Coefficients Of a Local Patch Around A Keypointmentioning

confidence: 99%

Feature selection for low bit rate mobile augmented reality applications

Cao

Ritz

Raad

2015

Signal Processing: Image Communication

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Section: Dct Coefficients Of a Local Patch Around A Keypointmentioning

confidence: 99%

Feature selection for low bit rate mobile augmented reality applications

Cao

Ritz

Raad

2015

Signal Processing: Image Communication

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“…Such methods were applicable for duplicated image retrieval. However, they have not achieved high matching accuracy under optical and geometric distortion [6]- [9]. To improve retrieval rate and matching accuracy, low level feature extraction based on DCT and wavelet coefficients in spatial domain were proposed.…”

Section: Introductionmentioning

confidence: 99%

Fast and accurate low bit rate retrieval-by-capture applications

Cao

Ritz

Raad

2014

2014 19th International Conference on Digital Signal Processing

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Retrieval-by-capture applications allow a user to scan a printed picture in a newspaper or magazine with a mobile camera to then automatically trigger the display of predetermined related content. To ensure a high user Quality of Experience (QoE), this paper proposes a fast and accurate low bit rate solution for retrieval-by-capture applications based on extracting Scale Invariant Feature Transform (SIFT) features from images reconstructed from the low spatial frequency components. The system applies a two-dimensional block-based Discrete Cosine Transform (DCT), as typically used in image coders, and only encodes and transmits the resulting DC components. Received images are decoded using these components and SIFT features are derived and then used to find a matching image within a database of candidate images. Results show that the proposed system achieves more than 97% matching accuracy when evaluated for a wide range of typical image distortions including scaling, rotation, additive noise, image blurring and illumination. Transmission data rates are comparable to existing compressed domain image features whilst significantly reducing system latency.

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“…Most of these schemes not only are robust against a difference in compressed levels but also do not produce false negative matches in any compression level. However, the conventional schemes [3][4][5][6][7][9][10][11] do not consider to identify images securely, since it is impossible to avoid the effect caused by a difference in compression levels.…”

Section: Introductionmentioning

confidence: 99%

“…So far, several identification schemes and image hash functions have been developed for authenticating images [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. They can be broadly classified into two types according to a difference in extracted features: compression method-depended type, to which the proposed scheme corresponds, and compression methodindependent type.…”

Section: Introductionmentioning

confidence: 99%

[Paper] Fuzzy Commitment Scheme-Based Secure Identification for JPEG XR Images under Various Compression Ratios

Iida

Kiya

2017

MTA

Self Cite

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A secure identification scheme for JPEG XR images is proposed in this paper.The aim is to securely identify JPEG XR images which are generated from the same original image under various compression levels. The positive and negative signs of lapped biorthogonal transform coefficients are used as features.The proposed scheme is robust against a difference in compression levels, and does not produce false negative matches in any compression level. In addition, to construct a secure identification system, we propose a novel identification system that consists of an error correction technique and a fuzzy commitment scheme, which is a well-known biometric cryptosystem. There is no existing scheme having these properties for JPEG XR images. Moreover, a way for speeding up the identification is also proposed. The experimental results show the proposed scheme is effective for identifying JPEG XR images in terms of true positive matches.

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Fast Method for Joint Retrieval and Identification of JPEG Coded Images Based on DCT Sign

Cited by 12 publications

References 9 publications

Feature selection for low bit rate mobile augmented reality applications

Feature selection for low bit rate mobile augmented reality applications

Fast and accurate low bit rate retrieval-by-capture applications

[Paper] Fuzzy Commitment Scheme-Based Secure Identification for JPEG XR Images under Various Compression Ratios

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