Yu et al., 2015 - Google Patents
A computational model for object-based visual saliency: Spreading attention along gestalt cuesYu et al., 2015
View PDF- Document ID
- 7352726464887109329
- Author
- Yu J
- Xia G
- Gao C
- Samal A
- Publication year
- Publication venue
- IEEE Transactions on Multimedia
External Links
Snippet
The past few years have witnessed impressive progress on the research of salient object detection. Nevertheless, existing approaches still cannot perform satisfactorily in the case of complex scenes, particularly when the salient objects have non-uniform appearance or …
- 230000000007 visual effect 0 title abstract description 26
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yu et al. | A computational model for object-based visual saliency: Spreading attention along gestalt cues | |
Ilea et al. | CTex—an adaptive unsupervised segmentation algorithm based on color-texture coherence | |
Feng et al. | Attention-driven salient edge (s) and region (s) extraction with application to CBIR | |
Vijayakumar et al. | Retrieval of complex images using visual saliency guided cognitive classification | |
Klein et al. | Salient pattern detection using W 2 on multivariate normal distributions | |
Bianco et al. | Robust smile detection using convolutional neural networks | |
Liu et al. | LEICA: Laplacian eigenmaps for group ICA decomposition of fMRI data | |
US8417038B2 (en) | Image processing apparatus, processing method therefor, and non-transitory computer-readable storage medium | |
Mousavi et al. | Iranian kinect face database (IKFDB): a color-depth based face database collected by kinect v. 2 sensor | |
Leng et al. | Context-aware attention network for image recognition | |
Xu et al. | Saliency detection with color contrast based on boundary information and neighbors | |
Sheng et al. | Action recognition using direction-dependent feature pairs and non-negative low rank sparse model | |
Chen et al. | Saliency modeling via outlier detection | |
Gustavsson et al. | Cloth manipulation based on category classification and landmark detection | |
Putzu et al. | A mobile application for leaf detection in complex background using saliency maps | |
Li et al. | Measuring visual surprise jointly from intrinsic and extrinsic contexts for image saliency estimation | |
Riche et al. | Bottom-up saliency models for still images: A practical review | |
Kobs et al. | Indirect: Language-guided zero-shot deep metric learning for images | |
Chen et al. | Multithreading cascade of SURF for facial expression recognition | |
Almutiry | Efficient iris segmentation algorithm using deep learning techniques | |
He et al. | Ring-push metric learning for person reidentification | |
Shi et al. | Multiview saliency detection based on improved multimanifold ranking | |
Anzid et al. | Benchmarking Saliency Detection Methods on Multimodal Image Data | |
ABD ALKAREEM | Remote Skin Diseases Diagnosis System Using Machine Learning Techniques | |
Ruan et al. | Night vision image de-noising of apple harvesting robots based on the wavelet fuzzy threshold |