Image description
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description
... of image descriptions in a target language, given an image and/or one or more de- scriptions in a different (source) ...age description needs to be translated to a target language, (optionally) with ...
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Comparing Automatic Evaluation Measures for Image Description
... In this paper we estimate the correlation of hu- man judgements with five automatic evaluation measures on two image description data sets. Our work extends previous studies of evaluation mea- sures for ...
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Varying image description tasks: spoken versus written descriptions
... Following Drieman’s study, researchers have proposed many other variables that seem to correlate with the speech/writing distinction. After surveying the literature on spoken versus written language, Biber (1988) ...
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Image Description Using Deep Neural Network
... images. Image description is a good starting point for imparting artificial intelligence to machines by allowing them to analyze and describe complex visual ...education, image retrieval and visually ...
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Pragmatic Factors in Image Description: The Case of Negations
... We studied the use of negations in the Flickr30K dataset. The use of negations imply that the de- scriptions contain a combination of objective and subjective interpretations of the images. But nega- tions are only one ...
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Focused Evaluation for Image Description with Binary Forced Choice Tasks
... of image descrip- tion. Items in each task consist of one image, paired with one correct and one incorrect caption; the system has to choose the correct caption over the ...of image ...
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Unsupervised Stylish Image Description Generation via Domain Layer Norm
... generate image descriptions by using paired im- age description data (Vinyals et ...adapt image captioning style using unpaired images and ...story-like description of the visual ...
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Cross validating Image Description Datasets and Evaluation Metrics
... of image description datasets that are currently available, using several commonly-used metrics for image description generation ...of image de- scription datasets; (ii) lower-bounds by ...
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Informing Content- and Concept-Based Image Indexing and Retrieval through a Study of Image Description
... concept-based image indexing and retrieval approaches may be improved by examining features relevant to ...both. Image descriptions were gathered from image professionals via a Web ...textual ...
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The Lexical Gap: An Improved Measure of Automated Image Description Quality
... The ability of text or speech to convey information specifically and articulately is a widely studied field. It is of interest in areas such as language learning, educational psychology and the study of speech ...
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Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
... Multilingual Image Description tackles the prob- lem of generating descriptions of images for lan- guages other than ...of image description research has focused on English- language ...
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Image Description using Deep Neural Networks
... for image description is the UFRMM model as the image stage and language stage are allowed to have input sequences of different ...the image stage. The image stage can have either a ...
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Saliency for Image Description and Retrieval
... Finally, Chapter 6 discussed two approaches that attempt to bridge the semantic gap. The first approach proposed simply propagating annotations from similar images. This approach works well if the images are well ...
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Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions
... art image captioning requires large datasets for training and ...face description task, despite the existence of annotated im- age ...current image- to-text technology to finer-grained, ...
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Image Description using Visual Dependency Representations
... external text corpus to determine which pairs of re- gions are likely to be in a describable relationship. Furthermore, CORPUS can generate verbs instead of spatial relations between regions, leading to more human-like ...
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Tell Me More: A Dataset of Visual Scene Description Sequences
... collected image description sequences, which are sequences of expressions that collec- tively are meant to single out one image from an (imagined) set of other similar ...
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NOISE ROBUST TRANSMISSION OF MULTIPLE DESCRIPTION IMAGE OVER WIRELESS NETWORKS
... multiple description coding was proposed in [7] in which multiple bitstreams are generated based on wavelet trees along the spatial ...per description, each spatial orientation tree in the wavelet domain is ...
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Iterative Soft Decoding of Multiple Description Image over Wireless Channel
... test image for evaluating the performance of proposed algorithm under fol- lowing channel conditions: 1) AWGN channel with no packet loss, and 2) combined packet loss and AWGN ...given image is ...
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Region Based Image Retrieval Using MPEG-7 Visual Descriptor
... query image regions and creating clusters of image regions based on visual ...large image database with visual descriptors. Query image region feature are extracted by using visual color ...
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A Survey on Robust Image Coding Techniques
... To overcome the limitations of existing MDC based algorithms the emerging Compressive Sensing (CS) theory is applied. The existing compression schemes follow „sample and then compress‟ process. When signals or images ...
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