Images similarity estimation by processing compressed data

Regentova, Emma E.; Latifi, Shahram; Deng, Shulan

doi:10.1016/s0262-8856(00)00095-0

Cited by 4 publications

(2 citation statements)

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“…On the other hand, researchers are motivated to develop better data compression applications driven by wide use of multimedia and geometrically increasing video, image, and sound records [4]. Another issue is to support progressive transmission of an image in which the image is delivered first at the iconic level and then at the user request, at gradually increased size and resolution [2,6]. Wavelet-based multiresolution compression makes hierarchical on demand accessing image data, which avoids unnecessary data transfer [18].…”

Section: Image Search Throughout Image Sequence And/or Image Databasementioning

confidence: 99%

“…Frequently Internet users need to browse and process image and video data effectively [1]. Obviously, implementing automatic image retrieval solutions is of great potential interest for most users [2]. Feature extraction and content based classification approaches such as curvature scale space (CSS), centroid distance functions (CDF), and null space invariant (NSI) representations can be considered for automated image database retrieval [3].…”

Section: Introductionmentioning

confidence: 99%

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Fast image search on a VQ compressed image database

Yakut¹

2016

Turk J Elec Eng & Comp Sci

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A fast and efficient image search method is developed for a compressed image database using vector quantization (VQ). An image search on an image database requires an exhaustive sequential scan of all the images, given the similarity measure. If compressed images are dealt with, images are decompressed as an initial operation and then the previously mentioned exhaustive search is performed using the predetermined similarity measure. If the images in the database are compressed using VQ, the image search process is reduced to codebook index match tests. A pixel by pixel similarity test of two images computationally costs too much. This bottleneck is overcome by using VQ, where the similarity test of the two image block is performed by a precalculated distortion lookup table. The same is valid for the object search in the image database. The object image is vector quantized first; then the index map of the object image is scanned over the entire index area of the compressed image database. Significant image search speed gains on the VQ image database are obtained. Results show that the VQ compressed image search is faster than a sequential search, and compressed and decompressed JPEG search. Actual speed gain obtained here depends on the application area and required image quality for the database.

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Section: Image Search Throughout Image Sequence And/or Image Databasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast image search on a VQ compressed image database

Yakut¹

2016

Turk J Elec Eng & Comp Sci

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Images similarity detection based on directional gradient angular histogram

Peng

Wang³

Object Recognition Supported by User Interaction for Service Robots

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Fast video vector quantization

Yakut

Reisoglu

2008

2008 23rd International Symposium on Computer and Information Sciences

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In this paper fast video vector quantization algorithm was developed utilizing high correlation between successive frames which can be used for motion compansation as a next step. Best matching code vector search speed is increased using previously encoded frame code vector index list, which carry the available information of that frame. By using interframe correlation, search speeds of tree structured vector quantization (TSVQ) was achieved Additionally the coding structure developed here is directly applicable to motion estimation (ME) and motion compansation. (MC) The main objective of this work is real time video encoding using high calculation power of server computer and at clients side requiring very low computation power, meanwhile requiring low electric energy. The algorithm developed here is very suitable especially for mobile equipments which can cary only limited electric power on it.

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Images similarity estimation by processing compressed data

Cited by 4 publications

References 25 publications

Fast image search on a VQ compressed image database

Fast image search on a VQ compressed image database

Images similarity detection based on directional gradient angular histogram

Fast video vector quantization

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