It takes the average reader 3 hours and 31 minutes to read Computational Methods for Integrating Vision and Language by Kenichi Kanatani
Assuming a reading speed of 250 words per minute. Learn more
Modeling data from visual and linguistic modalities together creates opportunities for better understanding of both, and supports many useful applications. Examples of dual visual-linguistic data includes images with keywords, video with narrative, and figures in documents. We consider two key task-driven themes: translating from one modality to another (e.g., inferring annotations for images) and understanding the data using all modalities, where one modality can help disambiguate information in another. The multiple modalities can either be essentially semantically redundant (e.g., keywords provided by a person looking at the image), or largely complementary (e.g., meta data such as the camera used). Redundancy and complementarity are two endpoints of a scale, and we observe that good performance on translation requires some redundancy, and that joint inference is most useful where some information is complementary. Computational methods discussed are broadly organized into ones for simple keywords, ones going beyond keywords toward natural language, and ones considering sequential aspects of natural language. Methods for keywords are further organized based on localization of semantics, going from words about the scene taken as whole, to words that apply to specific parts of the scene, to relationships between parts. Methods going beyond keywords are organized by the linguistic roles that are learned, exploited, or generated. These include proper nouns, adjectives, spatial and comparative prepositions, and verbs. More recent developments in dealing with sequential structure include automated captioning of scenes and video, alignment of video and text, and automated answering of questions about scenes depicted in images.
Computational Methods for Integrating Vision and Language by Kenichi Kanatani is 211 pages long, and a total of 52,961 words.
This makes it 71% the length of the average book. It also has 65% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 49 minutes to read Computational Methods for Integrating Vision and Language aloud.
Computational Methods for Integrating Vision and Language is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Computational Methods for Integrating Vision and Language by Kenichi Kanatani is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Computational Methods for Integrating Vision and Language by Kenichi Kanatani on Amazon click the button below.
Buy Computational Methods for Integrating Vision and Language on Amazon