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Image Content Retargeting
, with their limited dynamic range and color gamut. The wide variety of screens on which content may be viewed creates a challenge for developers;
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Image Content Retargeting
, with their limited dynamic range and color gamut. The wide variety of screens on which content may be viewed creates a challenge for developers;
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Retargeting Playbook
marketing channel, yet there is a lack of content that explains how the technology actually works and best practices for using it. Even marketing;
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Retargeting und die Rolle des Online Shopping Momentums
Vor dem Hintergrund einer stetig zunehmenden Verschiebung von Werbebudgets in den Online-Bereich bei;...
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Retargeting
Retargeting als aktuelles Tool des Online-Marketings baut auf bereits bekannten Technologien der Onl;...
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Retargeting als Marketinginstrument im Internet
In diesem Buch wird Retargeting als ein neuartiges Marketing-Instrument der personalisierten Werbung;...
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Folgen von ungunstig ausgesteuerter und aggressiver personalisierter Werbung (Retargeting) im Internet - Folgen fur Markenhersteller und Online-Shops
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Computer Vision for Visual Effects
Modern blockbuster movies seamlessly introduce impossible characters and action into real-world sett;...
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Content-Based Image Retrieval
The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval;
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A Beginner's Guide to Image Shape Feature Extraction Techniques
. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape;
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Adaptive Image Processing
content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content;
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Semantic and Interactive Content-based Image Retrieval
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A Beginner's Guide to Image Shape Feature Extraction Techniques
of content based image retrieval Includes polygonal approximation techniques of shape features Details moment based, scale space and;
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Image Retrieval Based on Content Using Color Feature
rapidly. The problem appears when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images;
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Image Understanding
, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich;
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Image Retrieval and Analysis Using Text and Fuzzy Shape Features
Multimedia information retrieval focuses on the tools of processing and searching that are applicable to the content-based management;
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Algorithms For Image Processing And Computer Vision
been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image;
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Content-Based Image Classification
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to;
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Putting Image Repair to the Test
Putting Image Repair to the Test: Quantitative Applications of Image Restoration Theory examines content analytic, attitudinal, and;
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Recent Advances on Memetic Algorithms and its Applications in Image Processing
, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future;
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Recent Advances on Memetic Algorithms and its Applications in Image Processing
, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future;
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Hands-On Image Generation with TensorFlow
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generatio;...
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Computer Vision and Image Processing
biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image;
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Computer Vision and Image Processing
biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image;
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Computer Vision and Image Processing
biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image;
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Image Schemas and Concept Invention
conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image;
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