[PDF] Top 20 Image and annotation retrieval via image contents and tags

... the image-tag [8] and video-view graphs [4] based approaches did not take consideration of the contents of images or videos, which lose the opportunity to retrieve more accurate ...the image ... See full document

... Technology, image retrieval is an active and traditional method for searching the images by keywords or by images from the large amount of image ...As tags gives the descriptive information of ... See full document

... effective image retrieval techniques are desired. The process of image retrieval fails due to sensory ...gap. Annotation based image retrieval is one of the promising ... See full document

... (or tags) which are then used by an image retrieval ...to image retrieval field, ’iconography’ means the process of human annotation of ...for image retrieval ... See full document

... similar image retrieval. However, the annotated- based retrieval method has two major problems that make it ...the image database has become larger and larger such that to create keywords for ... See full document

... information retrieval techniques so there should be an appropriate system to efficiently manage these ...in image database sizes, as well as its vast deployment in various applications, the need for ... See full document

... automatic image annotation, there still remain challenges such as assigning some weak tags to images ...the image content is ...the image in only one ...initial tags and ... See full document

... actual contents of the image rather than the metadata such as keywords, tags, and/or descriptions associated with the ...the image itself. CBIR is desirable because most web based image ... See full document

... “Content-based” implies that the pursuit examines the contents of the image instead of the metadata such as keywords, tags, or descriptions connected with the image. The expression ... See full document

... Image content may be described in terms of visual and semantic contents. General Visual content focus on color, texture, shape, spatial relationship, etc, whereas domain specific visual content may emphasis ... See full document

... - Image Annotation and Retrieval (IR) is one of the most exciting and fastest growing research areas in the field of multimedia ...Manual image annotation is time-consuming, laborious ... See full document

... semantic contents of images. In image annotation the problem of recognizing all objects in a given image is very difficult due several invariance ...the image search and ... See full document

... scale annotation, Yu Tang Guo et al [1] presented an approach called Reverse ...time-honored annotation where keywords are identified for a given image, in Reverse Annotation, the significant ... See full document

... the image without performing ...binary image containing text ...some image enhancement techniques are used to remove noise or to correct Ankit Sharma, Dipti R Chaudhary, ... See full document

... automatic image annotation two approaches are widely used to train the image ...of image classes in the high dimensional feature space (b) SVM- based approach by using support vector ... See full document

... different image descriptors. Chan et. al [1] discussed a novel approach for image retrieval by using contextual ...in image retrieval system and can be used for annotating the ... See full document

... required image for an ordinary user is a challenging ...content-based image retrieval (CBIR) compute relevance based on the visual similarity of low-level image features such as color, ... See full document

... efficient image retrieval algorithm based on color-correlogram for color feature extraction, wavelet transformation for extracting shape features and Gabor wavelet for texture feature extraction is ... See full document

... input image by processing it through a pre-trained CNN, and extracting the neural activations of all convolutional and fully-connected ...whole image train ... See full document

... Ozkan and Duygulu [8] proposed a graph based model for face annotation. By finding the similar subset of possible set of faces with query person name is the objective. Implementation is based on SIFT descriptors. ... See full document