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Tag: image recognition

  • Image Analysis and Recognition: 12th International Conference, ICIAR 2015, Niagara Falls, ON, Canada, July 22-24, 2015, Proceedings (Image Processing, … Vision, Pattern Recognition, and Graphics)

    Image Analysis and Recognition: 12th International Conference, ICIAR 2015, Niagara Falls, ON, Canada, July 22-24, 2015, Proceedings (Image Processing, … Vision, Pattern Recognition, and Graphics)


    Price: $53.55
    (as of Dec 24,2024 19:27:24 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2015 edition (July 15, 2015)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 561 pages
    ISBN-10 ‏ : ‎ 3319208004
    ISBN-13 ‏ : ‎ 978-3319208008
    Item Weight ‏ : ‎ 18.57 pounds
    Dimensions ‏ : ‎ 6.1 x 1.28 x 9.25 inches


    Join us at the 12th International Conference on Image Analysis and Recognition (ICIAR 2015) in Niagara Falls, ON, Canada from July 22-24, 2015. This conference will bring together experts in the fields of image processing, computer vision, pattern recognition, and graphics to discuss the latest research and developments in the field.

    The conference will feature presentations on topics such as image segmentation, object recognition, image retrieval, and image enhancement. Attendees will have the opportunity to network with leading researchers, participate in hands-on workshops, and explore the beautiful surroundings of Niagara Falls.

    Don’t miss this opportunity to expand your knowledge and connect with other professionals in the field. Register now for ICIAR 2015 and be a part of this exciting event. See you in Niagara Falls!
    #Image #Analysis #Recognition #12th #International #Conference #ICIAR #Niagara #Falls #Canada #July #Proceedings #Image #Processing #Vision #Pattern #Recognition #Graphics

  • Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data

    Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data


    Price: $22.39
    (as of Dec 24,2024 18:46:14 UTC – Details)




    ASIN ‏ : ‎ B07J664F9S
    Publisher ‏ : ‎ Packt Publishing; 1st edition (November 30, 2018)
    Publication date ‏ : ‎ November 30, 2018
    Language ‏ : ‎ English
    File size ‏ : ‎ 93490 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 494 pages


    Are you looking to take your image processing skills to the next level? Look no further than our latest blog post on “Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data.”

    In this post, we dive deep into the world of image processing with Python and explore advanced techniques that will help you extract valuable insights from your image data. From basic image manipulation to more complex tasks such as image segmentation and object detection, we cover it all in this comprehensive guide.

    Whether you are a seasoned Python programmer or just starting out, this post is a must-read for anyone looking to enhance their image processing skills. So grab your favorite cup of coffee and get ready to delve into the fascinating world of image analysis with Python. Happy coding!
    #HandsOn #Image #Processing #Python #Expert #techniques #advanced #image #analysis #effective #interpretation #image #data

  • Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November … Vision, Pattern Recognition, and Graphics)

    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November … Vision, Pattern Recognition, and Graphics)


    Price: $54.99 – $40.09
    (as of Dec 24,2024 18:07:24 UTC – Details)



    Exciting Advances in CIARP 2016: The Latest in Pattern Recognition, Image Analysis, Computer Vision, and Applications

    The 21st Iberoamerican Congress, CIARP 2016, held in Lima, Peru, showcased the cutting-edge research and developments in the fields of Pattern Recognition, Image Analysis, Computer Vision, and their applications. The conference brought together experts, researchers, and practitioners from around the world to present their latest findings and discuss the current trends and challenges in these rapidly evolving areas.

    Some of the key highlights of CIARP 2016 include:

    1. Advancements in deep learning and convolutional neural networks for image recognition and classification.
    2. Novel approaches for object detection and tracking in complex environments.
    3. Applications of computer vision in healthcare, agriculture, security, and autonomous systems.
    4. Techniques for image and video analysis, including image segmentation, feature extraction, and motion estimation.
    5. Emerging trends in biometrics, face recognition, and emotion detection.

    The conference provided a platform for researchers to exchange ideas, collaborate on new projects, and explore the potential of these technologies in diverse applications. With the rapid growth of data and the increasing demand for intelligent systems, the research presented at CIARP 2016 is poised to make a significant impact in various industries and domains.

    Stay tuned for more updates and insights from CIARP 2016, as we continue to explore the latest advancements in Pattern Recognition, Image Analysis, Computer Vision, and their applications.
    #Progress #Pattern #Recognition #Image #Analysis #Computer #Vision #Applications #21st #Iberoamerican #Congress #CIARP #Lima #Peru #November #Vision #Pattern #Recognition #Graphics

  • Digital Image Forensics: There is More to a Picture than Meets the Eye

    Digital Image Forensics: There is More to a Picture than Meets the Eye


    Price: $219.99 – $140.00
    (as of Dec 24,2024 17:27:12 UTC – Details)




    Publisher ‏ : ‎ Springer; 2013th edition (August 1, 2012)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 380 pages
    ISBN-10 ‏ : ‎ 1461407567
    ISBN-13 ‏ : ‎ 978-1461407560
    Item Weight ‏ : ‎ 1.62 pounds
    Dimensions ‏ : ‎ 6 x 1 x 9.1 inches


    When we look at a picture, we often take it at face value. However, in the digital age, there is much more to a picture than meets the eye. Digital image forensics is a field that examines the authenticity and integrity of digital images to determine their origin, history, and any alterations they may have undergone.

    With the prevalence of photo editing software and the ease of manipulating images, it has become increasingly important to be able to verify the authenticity of photos in various contexts, including legal proceedings, journalism, and social media.

    Digital image forensics involves analyzing the metadata of an image, such as the camera model, exposure settings, and timestamps, to determine if the image has been tampered with. Additionally, forensic experts can examine the pixel structure of an image to detect any inconsistencies or signs of manipulation.

    By using advanced techniques and tools, digital image forensics can help uncover the truth behind a picture and ensure its credibility in a world where visual information is so prevalent and easily manipulated.

    So next time you see a picture, remember that there is more to it than meets the eye, and digital image forensics plays a crucial role in uncovering the hidden truths behind the pixels.
    #Digital #Image #Forensics #Picture #Meets #Eye

  • Preliminary Stage for AI Learning: Let’s Study Basic Image Processing with C++ Sample Codes

    Preliminary Stage for AI Learning: Let’s Study Basic Image Processing with C++ Sample Codes


    Price: $27.00
    (as of Dec 24,2024 16:45:58 UTC – Details)




    ASIN ‏ : ‎ B0CJSYFVHH
    Publisher ‏ : ‎ Independently published (September 24, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 194 pages
    ISBN-13 ‏ : ‎ 979-8862190335
    Reading age ‏ : ‎ 15 – 18 years
    Item Weight ‏ : ‎ 1.01 pounds
    Dimensions ‏ : ‎ 7.17 x 0.44 x 10.11 inches


    In the preliminary stage of learning AI, it is essential to understand the basics of image processing. Image processing plays a crucial role in various AI applications such as computer vision, object detection, and facial recognition. To kickstart your journey into AI, let’s study basic image processing with C++ sample codes.

    C++ is a powerful programming language that is widely used in the field of AI and machine learning. By mastering C++ for image processing, you will be able to efficiently manipulate and analyze images to extract meaningful information.

    Here are some basic image processing techniques that you can learn with C++ sample codes:

    1. Loading and displaying an image: Learn how to load an image from a file and display it on the screen using C++.

    2. Converting an image to grayscale: Understand how to convert a color image to a grayscale image, which simplifies image processing tasks.

    3. Image filtering: Explore different image filtering techniques such as blurring, sharpening, and edge detection using C++.

    4. Image segmentation: Learn how to segment an image into different regions or objects based on their characteristics.

    5. Image enhancement: Study techniques to enhance the quality and appearance of an image using C++.

    By studying these basic image processing techniques with C++ sample codes, you will lay a strong foundation for advanced AI learning. Stay tuned for more posts on AI and machine learning topics!
    #Preliminary #Stage #Learning #Lets #Study #Basic #Image #Processing #Sample #Codes

  • Pattern Recognition (Blue Ant Book 1)

    Pattern Recognition (Blue Ant Book 1)


    Price: $7.99
    (as of Dec 24,2024 16:03:43 UTC – Details)




    ASIN ‏ : ‎ B000OCXGVY
    Publisher ‏ : ‎ Berkley; 1st edition (February 3, 2003)
    Publication date ‏ : ‎ February 3, 2003
    Language ‏ : ‎ English
    File size ‏ : ‎ 1503 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Enabled
    Print length ‏ : ‎ 378 pages
    Page numbers source ISBN ‏ : ‎ 0399149864

    Customers say

    Customers find the book engaging and well-written. They appreciate the descriptive writing style and poetic language. The book explores interesting concepts and ideas, with thoughtful and important insights. Readers enjoy the captivating characters and sharp portrayal of how things truly are. The intelligent dialogue and psychological insights make the book an inspiring and affirming read. The pacing is described as perfect and steady.

    AI-generated from the text of customer reviews


    Pattern Recognition (Blue Ant Book 1)

    Have you ever felt like there are hidden patterns all around you, just waiting to be discovered? In William Gibson’s novel, Pattern Recognition, protagonist Cayce Pollard is a “coolhunter” who is able to detect trends and patterns in the world of marketing and design. But when she is hired to track down the source of a mysterious series of video clips, Cayce finds herself drawn into a web of conspiracy and intrigue that challenges her perceptions of reality.

    Gibson’s masterful storytelling and keen eye for detail make Pattern Recognition a gripping and thought-provoking read. As Cayce delves deeper into the world of the footage, she must confront her own fears and vulnerabilities, while also navigating a landscape of corporate espionage and global politics.

    If you’re a fan of techno-thrillers and speculative fiction, Pattern Recognition is a must-read. Join Cayce Pollard on her quest for truth and meaning in a world where nothing is as it seems. Who knows what patterns you might uncover along the way?
    #Pattern #Recognition #Blue #Ant #Book

  • Image Classification: Step-by-step Classifying Images with Python and Techniques of Computer Vision and Machine Learning

    Image Classification: Step-by-step Classifying Images with Python and Techniques of Computer Vision and Machine Learning


    Price: $9.95
    (as of Dec 24,2024 15:21:54 UTC – Details)




    ASIN ‏ : ‎ B07NKT94GV
    Publisher ‏ : ‎ M.J. Magic Publishing; 1st edition (February 9, 2019)
    Publication date ‏ : ‎ February 9, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 4207 KB
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Format ‏ : ‎ Print Replica


    Image Classification: Step-by-step Classifying Images with Python and Techniques of Computer Vision and Machine Learning

    In this post, we will explore the process of image classification using Python and popular techniques of computer vision and machine learning. Image classification is the task of assigning a label or category to an image based on its content. This task is commonly used in various fields such as healthcare, autonomous driving, and security.

    To classify images, we will be using the following steps:

    1. Data Collection: The first step in image classification is to gather a dataset of images that are labeled with their corresponding categories. This dataset will be used to train our machine learning model.

    2. Data Preprocessing: Before feeding the images into the model, we need to preprocess them by resizing, normalizing, and augmenting the data to improve the model’s performance.

    3. Model Building: We will build a convolutional neural network (CNN) using popular libraries such as TensorFlow or PyTorch. CNNs are widely used in image classification tasks due to their ability to learn spatial hierarchies of features.

    4. Model Training: We will train the CNN model on our dataset using techniques such as backpropagation and stochastic gradient descent to optimize the model’s parameters.

    5. Model Evaluation: Once the model is trained, we will evaluate its performance on a separate test dataset to measure its accuracy, precision, recall, and F1 score.

    6. Prediction: Finally, we will use the trained model to classify new images and make predictions on their categories.

    By following these steps and utilizing the power of computer vision and machine learning techniques, we can successfully classify images with Python. Stay tuned for the upcoming tutorials where we will dive deeper into each of these steps and provide code examples to help you get started with image classification.
    #Image #Classification #Stepbystep #Classifying #Images #Python #Techniques #Computer #Vision #Machine #Learning

  • Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)

    Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)


    Price: $59.99
    (as of Dec 24,2024 14:40:26 UTC – Details)




    Publisher ‏ : ‎ Springer; 2013th edition (May 22, 2013)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 382 pages
    ISBN-10 ‏ : ‎ 1848829183
    ISBN-13 ‏ : ‎ 978-1848829183
    Item Weight ‏ : ‎ 1.95 pounds
    Dimensions ‏ : ‎ 7.01 x 0.91 x 9.25 inches


    Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)

    Digital image processing is a crucial field in computer science that involves manipulating digital images through various algorithms and techniques. In this post, we will explore some advanced methods in digital image processing that are commonly studied in undergraduate courses in computer science.

    1. Image segmentation: Image segmentation is the process of partitioning an image into multiple segments to simplify the representation of an image. This is a challenging task that involves identifying boundaries within an image and separating different objects or regions. Advanced methods in image segmentation include clustering algorithms, graph-based segmentation, and deep learning-based approaches.

    2. Object recognition: Object recognition is the process of identifying and classifying objects within an image. Advanced methods in object recognition include convolutional neural networks (CNNs), which have revolutionized the field of computer vision. CNNs are able to learn hierarchical representations of images and can be used for tasks such as object detection, localization, and classification.

    3. Image restoration: Image restoration is the process of recovering degraded or corrupted images to improve their quality. Advanced methods in image restoration include deconvolution techniques, super-resolution algorithms, and deep learning-based approaches. These methods can be used to remove noise, blur, and other imperfections from images.

    4. Image synthesis: Image synthesis involves generating new images based on existing images or data. Advanced methods in image synthesis include generative adversarial networks (GANs), which are able to generate realistic images that are indistinguishable from real images. GANs have been used for tasks such as image-to-image translation, style transfer, and image generation.

    Overall, the field of digital image processing is constantly evolving, with new methods and techniques being developed to address various challenges in image analysis and manipulation. By studying advanced methods in digital image processing, undergraduate students in computer science can gain a deeper understanding of this important field and develop the skills needed to work on cutting-edge research and applications.
    #Principles #Digital #Image #Processing #Advanced #Methods #Undergraduate #Topics #Computer #Science

  • QNAP TS-AI642 6 Bay AI NAS with a Power-efficient ARM Processor and NPU for AI-Powered Video and Image Recognition Applications (Diskless)

    QNAP TS-AI642 6 Bay AI NAS with a Power-efficient ARM Processor and NPU for AI-Powered Video and Image Recognition Applications (Diskless)


    Price: $649.00
    (as of Dec 24,2024 13:57:05 UTC – Details)



    The next-generation TS-AI642 AI NAS is specifically designed for AI-powered video and image recognition applications. Adopting the 64-bit ARM Cortex-A76/-A55 octa-core processor with up to 6 TOPS NPU (Neural network Processing Unit), the TS-AI642 not only tackles image processing and analysis tasks, but also offloads CPU workloads when running AI applications to reduce system operation power consumption. With powerful computing performance, high-capacity storage space and flexible I/O expandability, the TS-AI642 allows enterprises to easily deploy an AI NAS solution for video surveillance, image recognition, and face recognition applications.
    ARM Cortex 8C processor (4-core Cortex-A76 2.2 GHz + 4-core Cortex-A55 1.8 GHz) and 8GB DDR4 RAM (non-expandable)
    ARM Mali-G610 MC4 GPU supporting NEON technology that accelerates video processing for a better media experience.
    Single 2.5GbE (2.5G/1G/100M/10M) and dual 1GbE ports accelerate file sharing across teams and devices or streamline large file transfers.
    PCIe Gen 3 x2 slots allow for installing additional 2.5/5/10GbE adapter, QM2 card, or USB 3.2 Gen 2 (10Gbps) card to increase application potential.
    Dual 4K HDMI 1.4b Output for surveillance or 4K high-resolution video playback
    Comprehensive surveillance solution for 24/7 security with QVR Pro


    Introducing the QNAP TS-AI642 6 Bay AI NAS – the ultimate solution for AI-powered video and image recognition applications. Equipped with a power-efficient ARM processor and NPU, this diskless NAS is designed to handle the demands of AI workloads with ease.

    With six bays for storage, the TS-AI642 offers plenty of room for your data and media files. Whether you’re a small business looking to implement AI technology or a home user interested in exploring the possibilities of AI-powered applications, this NAS has you covered.

    The NPU (Neural Processing Unit) in the TS-AI642 accelerates AI inference tasks, making it faster and more efficient to process large amounts of data. This means you can take advantage of AI-powered features like facial recognition, object detection, and more without sacrificing performance.

    In addition to its AI capabilities, the TS-AI642 also offers a range of other features to enhance your storage experience. From RAID support for data protection to remote access and multimedia streaming, this NAS is a versatile and powerful solution for all your storage needs.

    Don’t wait any longer to unlock the potential of AI technology in your home or business. Get your hands on the QNAP TS-AI642 6 Bay AI NAS today and experience the future of storage and AI integration.
    #QNAP #TSAI642 #Bay #NAS #Powerefficient #ARM #Processor #NPU #AIPowered #Video #Image #Recognition #Applications #Diskless

  • SparkFun MicroMod Machine Learning Carrier Board – On Board Accelerometer Qwiic Port Explore Voice Recognition Always-on Voice Commands Gesture Image Recognition

    SparkFun MicroMod Machine Learning Carrier Board – On Board Accelerometer Qwiic Port Explore Voice Recognition Always-on Voice Commands Gesture Image Recognition


    Price: $20.95
    (as of Dec 24,2024 13:13:42 UTC – Details)




    The MicroMod Machine Learning Carrier Board combines some of the features of our SparkFun Edge Board and SparkFun Artemis boards, but allows you the freedom to explore with any processor in the MicroMod lineup without the need for a central computer or web connection.
    Voice recognition, always-on voice commands, gesture, or image recognition are possible with TensorFlow applications. An on board accelerometer and Qwiic ports allow you even more flexibility.
    Features: M.2 MicroMod Keyed-E H4.2mm 65 pin SMD Connector 0.5mm. Digital I2C MEMS Microphone PDM Invensense ICS-43434 (COMP). Digital PDM MEMS Microphone PDM Knowles SPH0641LM4H-1 (IC)
    Also features: ML414H-IV01E Lithium Battery for RTC. ST LIS2DH12TR Accelerometer (3-axis, ultra-low-power). 24 Pin 0.5mm FPC Connector (Himax camera connector). USB – C. Qwiic connector. MicroSD socket. Phillips #0 M2.5x3mm screw included
    Carrier board only. MicroMod processor board will need to be purchased separately.


    Introducing the SparkFun MicroMod Machine Learning Carrier Board, now with an on-board accelerometer and Qwiic port for easy integration with other sensors and peripherals. With this powerful carrier board, you can explore voice recognition, always-on voice commands, gesture control, and image recognition in your projects.

    The on-board accelerometer allows for motion sensing and orientation detection, perfect for creating interactive projects that respond to movement. The Qwiic port makes it easy to connect additional sensors, displays, and other components without the need for soldering or complicated wiring.

    With the MicroMod Machine Learning Carrier Board, you can experiment with advanced AI capabilities such as voice recognition for hands-free control, always-on voice commands for seamless interaction, gesture control for intuitive input, and image recognition for object detection and classification.

    Take your projects to the next level with the SparkFun MicroMod Machine Learning Carrier Board and unlock a world of possibilities with machine learning and AI. Get yours today and start creating smart, interactive devices that respond to your voice, gestures, and surroundings.
    #SparkFun #MicroMod #Machine #Learning #Carrier #Board #Board #Accelerometer #Qwiic #Port #Explore #Voice #Recognition #Alwayson #Voice #Commands #Gesture #Image #Recognition