Local Visual detectors and descriptors have been studied for many years, but their applications (e.g. mobile visual search) in large volume, low-cost, low-power embedded systems have been limited or negligible to date. One reason is the lack of a worldwide industry standard. MPEG Compact Descriptors for Visual Search (CDVS) working group filled this gap by defining a high-performance extraction stage and the bitstream syntax at its output in order to achieve interoperability between different implementations of clients and servers. In a previous work, we presented an analysis of various gray-level interest point detection and description algorithms, which was also contributed to CDVS. This work extends the previous analysis using the MPEG CDVS Test Model framework to consider additional detectors and the use of color descriptors.
Bianco, S., Mazzini, D., Pau, D., Schettini, R. (2015). Local detectors and compact descriptors for visual search: a quantitative comparison. DIGITAL SIGNAL PROCESSING, 44(1), 1-13 [10.1016/j.dsp.2015.06.001].
Local detectors and compact descriptors for visual search: a quantitative comparison
BIANCO, SIMONE
;MAZZINI, DAVIDESecondo
;SCHETTINI, RAIMONDOUltimo
2015
Abstract
Local Visual detectors and descriptors have been studied for many years, but their applications (e.g. mobile visual search) in large volume, low-cost, low-power embedded systems have been limited or negligible to date. One reason is the lack of a worldwide industry standard. MPEG Compact Descriptors for Visual Search (CDVS) working group filled this gap by defining a high-performance extraction stage and the bitstream syntax at its output in order to achieve interoperability between different implementations of clients and servers. In a previous work, we presented an analysis of various gray-level interest point detection and description algorithms, which was also contributed to CDVS. This work extends the previous analysis using the MPEG CDVS Test Model framework to consider additional detectors and the use of color descriptors.File | Dimensione | Formato | |
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Local detectors and compact descriptors for visual search- a quantitative comparison.pdf
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