عنوان

Visual saliency :

شابک

3030048314

شابک

9783030048310

شابک اشتباه

3030048306

شابک اشتباه

3030048322

شابک اشتباه

9783030048303

شابک اشتباه

9783030048327

عنوان اصلي

Visual saliency :

نام عام مواد

[Book]

ساير اطلاعات عنواني

from pixel-level to object-level analysis /

نام نخستين پديدآور

Jianming Zhang, Filip Malmberg, Stan Sclaroff.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references.

متن يادداشت

Overview -- Pixel-level saliency -- Boolean map slaiency: a surprisingly simple method -- A distance transform perspective -- Efficient distance transform for salient region detection -- Object-level saliency -- Salient object subitizing -- Unconstrained salient object detection -- Conclusion and future work.

بدون عنوان

0

متن يادداشت

This book will provide an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers. For computer vision and image processing practitioners: Efficient algorithms based on image distance transforms for two pixel-level saliency tasks; Promising deep learning techniques for two novel object-level saliency tasks; Deep neural network model pre-training with synthetic data; Thorough deep model analysis including useful visualization techniques and generalization tests; Fully reproducible with code, models and datasets available. For researchers interested in the intersection between digital topological theories and computer vision problems: Summary of theoretic findings and analysis of Boolean map distance; Theoretic algorithmic analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and computer vision: This book provides up-to-date supplementary reading material for course topics like connectivity based image processing, deep learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on programming exercises in digital topology and deep learning.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030048310

عنوان

Visual Saliency: from Pixel-Level to Object-Level Analysis.

شماره استاندارد بين المللي کتاب و موسيقي

9783030048303

موضوع مستند نشده

Image processing-- Digital techniques.

موضوع مستند نشده

Image processing-- Digital techniques.

موضوع مستند نشده

COM012000

موضوع مستند نشده

UYQV

موضوع مستند نشده

UYT

موضوع مستند نشده

UYT

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Zhang, Jianming, (Research scientist)

مستند نام اشخاص تاييد نشده

Malmberg, Filip

مستند نام اشخاص تاييد نشده

Sclaroff, Stan

تاريخ عمليات

20200823080952.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y