A quantum moving target segmentation algorithm for grayscale video

• URL: http://arxiv.org/abs/2310.03038v1
• Date: Sun, 1 Oct 2023 15:38:27 GMT
• Title: A quantum moving target segmentation algorithm for grayscale video
• Authors: Wenjie Liu, Lu Wang, Qingshan Wu
• Abstract summary: A quantum moving target segmentation algorithm for grayscale video is proposed. The complexity of our algorithm can be reduced to O$(n2 + q)$. The experiment is conducted on IBM Q to show the feasibility of our algorithm in the noisy intermediate-scale quantum (NISQ) era.
• Score: 6.601450061692404
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The moving target segmentation (MTS) aims to segment out moving targets in the video, however, the classical algorithm faces the huge challenge of real-time processing in the current video era. Some scholars have successfully demonstrated the quantum advantages in some video processing tasks, but not concerning moving target segmentation. In this paper, a quantum moving target segmentation algorithm for grayscale video is proposed, which can use quantum mechanism to simultaneously calculate the difference of all pixels in all adjacent frames and then quickly segment out the moving target. In addition, a feasible quantum comparator is designed to distinguish the grayscale values with the threshold. Then several quantum circuit units, including three-frame difference, binarization and AND operation, are designed in detail, and then are combined together to construct the complete quantum circuits for segmenting the moving target. For a quantum video with $2^m$ frames (every frame is a $2^n\times 2^n$ image with $q$ grayscale levels), the complexity of our algorithm can be reduced to O$(n^2 + q)$. Compared with the classic counterpart, it is an exponential speedup, while its complexity is also superior to the existing quantum algorithms. Finally, the experiment is conducted on IBM Q to show the feasibility of our algorithm in the noisy intermediate-scale quantum (NISQ) era.

Related papers

• Supervised binary classification of small-scale digits images with a trapped-ion quantum processor [56.089799129458875]
  We show that a quantum processor can correctly solve the basic classification task considered. With the increase of the capabilities quantum processors, they can become a useful tool for machine learning.
  arXiv  Detail & Related papers  (2024-06-17T18:20:51Z)
• An improved two-threshold quantum segmentation algorithm for NEQR image [6.601450061692404]
  An improved two-threshold quantum segmentation algorithm for NEQR image is proposed. For a 2(n)*2(n) image with q-scale levels, the quantum cost of our algorithm can be reduced to 60q-6.
  arXiv  Detail & Related papers  (2023-10-02T17:04:36Z)
• Quantum Image Segmentation Based on Grayscale Morphology [7.522250793902056]
  The complexity of our algorithm can be reduced to O(n2+q), which is an exponential speedup than the classic counterparts. The experiment is conducted on IBM Q to show the feasibility of our algorithm in the noisy intermediate-scale quantum (NISQ) era.
  arXiv  Detail & Related papers  (2023-10-02T13:42:25Z)
• A quantum segmentation algorithm based on local adaptive threshold for NEQR image [7.798738743268923]
  The complexity of our algorithm can be reduced to $O(n2+q)$, which is an exponential speedup compared to the classic counterparts. The experiment is conducted on IBM Q to show the feasibility of our algorithm in the noisy intermediate-scale quantum (NISQ) era.
  arXiv  Detail & Related papers  (2023-10-02T04:01:42Z)
• Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis [31.203764035373677]
  We develop Quantivine, an interactive system for exploring and understanding quantum circuits. A series of novel circuit visualizations are designed to uncover contextual details such as qubit provenance, parallelism, and entanglement. The effectiveness of Quantivine is demonstrated through two usage scenarios of quantum circuits with up to 100 qubits.
  arXiv  Detail & Related papers  (2023-07-18T04:51:28Z)
• Quantum Clustering with k-Means: a Hybrid Approach [117.4705494502186]
  We design, implement, and evaluate three hybrid quantum k-Means algorithms. We exploit quantum phenomena to speed up the computation of distances. We show that our hybrid quantum k-Means algorithms can be more efficient than the classical version.
  arXiv  Detail & Related papers  (2022-12-13T16:04:16Z)
• Iterative Qubits Management for Quantum Index Searching in a Hybrid System [56.39703478198019]
  IQuCS aims at index searching and counting in a quantum-classical hybrid system. We implement IQuCS with Qiskit and conduct intensive experiments. Results demonstrate that it reduces qubits consumption by up to 66.2%.
  arXiv  Detail & Related papers  (2022-09-22T21:54:28Z)
• Entanglement and coherence in Bernstein-Vazirani algorithm [58.720142291102135]
  Bernstein-Vazirani algorithm allows one to determine a bit string encoded into an oracle. We analyze in detail the quantum resources in the Bernstein-Vazirani algorithm. We show that in the absence of entanglement, the performance of the algorithm is directly related to the amount of quantum coherence in the initial state.
  arXiv  Detail & Related papers  (2022-05-26T20:32:36Z)
• A hybrid quantum image edge detector for the NISQ era [62.997667081978825]
  We propose a hybrid method for quantum edge detection based on the idea of a quantum artificial neuron. Our method can be practically implemented on quantum computers, especially on those of the current noisy intermediate-scale quantum era.
  arXiv  Detail & Related papers  (2022-03-22T22:02:09Z)
• Benchmarking Small-Scale Quantum Devices on Computing Graph Edit Distance [52.77024349608834]
  Graph Edit Distance (GED) measures the degree of (dis)similarity between two graphs in terms of the operations needed to make them identical. In this paper we present a comparative study of two quantum approaches to computing GED.
  arXiv  Detail & Related papers  (2021-11-19T12:35:26Z)
• On connectivity-dependent resource requirements for digital quantum simulation of $d$-level particles [0.703901004178046]
  We study the number of SWAP gates required to Trotterize commonly used quantum operators. Results are applicable in hardware co-design and in choosing efficient qudit encodings for a given set of near-term quantum hardware.
  arXiv  Detail & Related papers  (2020-05-26T22:28:51Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.