2012
DOI: 10.1016/j.dsp.2012.05.013
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Quantization analysis and enhancement of a VLSI gradient-based motion estimation architecture

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Cited by 48 publications
(23 citation statements)
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“…[37] and multi-cycle custom instruction regarding Nios II / e. Also is shown the enhancement regarding baseline. [4,5], [9,12] .stack(SDRAM) .text(SDRAM ) [2,3] [37] and multi-cycle custom instruction regarding Nios II / f. Also is shown the enhancement regarding baseline. Fig.…”
Section: Final Results: Custom Instructions and Memory Choicementioning
confidence: 99%
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“…[37] and multi-cycle custom instruction regarding Nios II / e. Also is shown the enhancement regarding baseline. [4,5], [9,12] .stack(SDRAM) .text(SDRAM ) [2,3] [37] and multi-cycle custom instruction regarding Nios II / f. Also is shown the enhancement regarding baseline. Fig.…”
Section: Final Results: Custom Instructions and Memory Choicementioning
confidence: 99%
“…The baseline case, design 1, is constructed using just SDRAM in every single configuration parameter of the memory system design. [1], [4,5], [9,12] .4ndc(SDRAM) text(SDRAM) [2,3] Nios II /e + CI Combinational J [1], [4,5], [9,12] .stadc(SDRAM) .text(SDRAM) [2,3] .stack(SDRAM) .text(On -chip) [6,8] …”
Section: Memory System Designmentioning
confidence: 99%
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“…The FPGA technology provides the signal processing engineers with the ability to construct a custom data path that is tailored to the application at hand [26,27]. FPGAs offer the flexibility of instruction set digital signal processors, while providing the processing power and flexibility of an ASIC, and enable significant design cycle compression and time-to-market advantages, an important consideration in an economic climate with ever-decreasing market windows and short product life cycles [28,29].…”
Section: Introductionmentioning
confidence: 99%
“…The final aim of optical flow estimation is to compute an approximation to the motion field from timevarying image intensity. Several different real-time approaches to motion estimation have been proposed [1][2][3][4][5][6][7][8][9], and these could preliminarily be classified as belonging to matching domain approximations [10], energy models [11] and gradient models [12,13]. Despite the number of different models and algorithms [14], none of them covers all the problems associated with real-world processing, such as noise, illumination changes, second order motion, occlusions, etc.…”
Section: Introductionmentioning
confidence: 99%