Applied computer vision and image processing : proceedings of ICCET 2020.: proceedings of ICCET 2020. Volume 1 ([2020])
- Record Type:
- Book
- Title:
- Applied computer vision and image processing : proceedings of ICCET 2020.: proceedings of ICCET 2020. Volume 1 ([2020])
- Main Title:
- Applied computer vision and image processing : proceedings of ICCET 2020.
- Other Titles:
- ICCET 2020
- Further Information:
- Note: Brijesh Iyer, A. M. Rajurkar, Venkat Gudivada, editors.
- Editors:
- Iyer, Brijesh
Rajurkar, A. M
Gudivada, Venkat - Other Names:
- International Conference on Communication Engineering and Technology, 5th
- Contents:
- A Deep Learning Architecture for Corpus Creation for Telugu Language.- Entropy-Based Facial Movements Recognition using CPVM.- A Novel Approach of Image Processing to Identify Type and Name of Snake.- Imext Text Summarizer using Deep Learning.- Lane Detection and Collision Prevention System for Automated Vehicles.
- Issue Display:
- Volume 1
- Volume:
- 1
- Issue Sort Value:
- 0000-0001-0000-0000
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 621.367
Image processing -- Congresses
Computer vision -- Congresses
Electronic books - Languages:
- English
- ISBNs:
- 9789811540295
9811540292 - Related ISBNs:
- 9811540284
9789811540288 - Notes:
- Note: Includes bibliographical references.
Note: Description based on online resource; title from digital title page (viewed on September 08, 2020). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.527428
- Ingest File:
- 03_122.xml