会議情報

VP-HBA 2021: Video Processing for Human Behavioral Analysis Track

会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
新規登録 ログイン
締切カウントダウンバッジを埋め込む
VP-HBA
このデータを API で取得
検索とランキング一覧は資格情報なしで利用できます。このページの詳細データには無料の API キーが必要です。詳しくは開発者向けガイドをご覧ください。
投稿締切日:
2020-10-12 Extended
通知日:
2020-11-24
開催日:
2021-03-22
開催地:
Gwangju, Korea
閲覧: 11995   フォロー: 0   参加: 0

会伴インデックス (CP-I)

42.1 / 100
全 5,680 件中 第 4,126 位 · 上位 73%

コンピュータビジョン・パターン認識 分野 243 件中 第 209 位

根拠が限られています：この会議は CCF / ICORE / QUALIS のいずれにも収録されておらず、採択率のデータもないため、スコアの大部分は中立の基準値に戻ります。
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%) データなし — 中立の基準値 50 点として算入 —
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
25

使用した入力: 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 25% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-12

論文募集

VP-HBA 2021 (Video Processing for Human Behavioral Analysis Track) is an academic conference held in Gwangju, Korea on 2021-03-22. The paper submission deadline is 2020-10-12 (extended). Acceptance notifications are sent on 2020-11-24.

SUBMISSION DATE EXTENDED: 2020-10-12 The 36th ACM/SIGAPP Symposium on Applied Computing (SAC 2021) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2021 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Gwangju, Korea. The technical track on Video Processing for Human Behavioral Analysis (VP-HBA 2021) is at its second edition and will be organized within SAC 2021. Description Aiming at bridging the gap between human and machine vision, video signal is probably the main cue that multimodal machine learning and pattern recognition tools rely on. Among the difficult tasks dealt with in this domain, human behavior understanding is surely accounted a challenging one. Activities such as action recognition, affective computing, human computer interaction, urban analytics, or applications in health, security, robotics and video games are undoubtedly well-established topics in which computer vision plays a fundamental role. Studying human-human or human-computer interactions has also attracted increasing attention in recent years due to its widespread meaning and applications. Furthermore, the advancements in computer vision for social behavior analysis can bring ubiquitous changes in the society. However, despite significant research progress, the automated understanding of a wide range of human activities from visual as well as multimodal data still remains a source of challenging topics. This track mainly intends to focus on all aspects of computer vision, pattern recognition and machine intelligence devoted to the automatic analysis of human behavior by applying recent or novel video and multimodal data processing techniques. Topics include but are not limited to - Human behavior analysis from visual and multimodal information - Information fusion for the analysis of human behavior - Affective computing and interaction - Cognitive interaction understanding - Visual attention models and systems - Crowd and social behavior understanding - Human and group action recognition - Human-machine interaction - Databases for human-human interaction - Scene understanding - Automatic tracking in videos - Social networks analysis - Modeling and simulation of human interactions - Multimodal dyadic interaction - Artificial intelligence for human interaction analysis - Pervasive computing for human interaction understanding - Computer vision for health emergencies - Gesture and gait analysis - Applications of behavior analysis methods, e.g., in medicine, sports and games, well-being, security, environment
最終更新：Jianyi Lin（）

関連会議

CCFICORECP-I略称正式名称投稿締切開催日
AA*92.4SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*91.1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-06-03
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.0IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*89.3STOCACM Symposium on Theory of Computing2025-11-042026-06-22
C87.3ICCInternational Conference on Communications2026-10-022027-05-30
CB62.6IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.4PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Signal, Image and Video Processing2.1Springer1863-1703
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

コメント 0

まだコメントはありません。

コメントするにはログインしてください