会议信息

ISPA' 2025: International Symposium on Image and Signal Processing and Analysis

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截稿日期:
2025-08-25
通知日期:
2025-09-29
会议日期:
2025-10-29
会议地点:
Coimbra, Portugal
届数:
14
浏览: 18065   关注: 0   参加: 0
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ISPA'
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会伴指数 (CP-I)

48.2 / 100
全站第 2,064 名 / 共 5,695 个会议 · 前 37%

电气与电子工程 第 139 / 512

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
73
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 有据可查的届次:14 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-10

征稿

ISPA' 2025 (International Symposium on Image and Signal Processing and Analysis) is an academic conference held in Coimbra, Portugal on 2025-10-29. The paper submission deadline is 2025-08-25. Acceptance notifications are sent on 2025-09-29.

Aims and Scope The aim of the symposium is to bring together researchers in the exciting and dynamic area of image and signal processing and computer vision and to foster exchange of new ideas. Authors are invited to submit two categories of papers: full papers of no more than six pages describing high-quality original research; short and position papers of no more than four pages. Instructions for authors, paper templates, and information on "no show" policy are available at https://www.isispa.org/instructions-for-authors. All submissions will be handled electronically. Important dates and deadlines are listed at https://www.isispa.org/important-dates. Topics of interest include but are not limited to: A. Image and Video Processing A1. Image enhancement and restoration A2. Image representation and modeling A3. Interpolation, super-resolution and mosaicing A4. Image and video perception and quality models A5. Compression and Coding A6. Computational imaging A7. Color, multi-spectral, and hyperspectral imaging A8. Stereoscopic, multiview, and 3D processing B. Image and Video Analysis B1. Segmentation, grouping, and shape representation B2. Motion and tracking, registration, and fusion B3. Deep learning and neural networks B4. Interpretation and understanding B5. Statistical learning B6. Detection, categorization, recognition, and classification B7. Image and video labeling and retrieval B8. Big data and large scale methods C. Signal Processing and Analysis C1. Analog, digital and mixed signal processing C2. Signal modeling, prediction and identification C3. Compressive sensing C4. Filter design C5. Multirate and wavelet signal processing C6. Compression and coding C7. Time-frequency signal analysis C8. Multidimensional signal processing D. Audio and Speech Processing D1. Speech and audio analysis D2. Speech synthesis D3. Speech coding and audio coding D4. Speech recognition D5. Loudspeaker and microphone arrays D6. Echo cancellation and audio source enhancement D7. Active noise control D8. Hearings aids E. Applications E1. Biomedical and biological signal and image processing E2. Watermarking and information hiding E3. Biometrics, forensics, and security E4. Genomic signal processing and bioinformatics E5. Document image processing and analysis E6. Communication signal processing E7. Multimedia and speech processing E8. Emerging applications and systems
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