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Related Concept Videos

Lampbrush Chromosomes01:51

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...
Lampbrush Chromosomes01:51

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...
Reporter Genes02:11

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...
Capacitors01:15

Capacitors

Capacitors play a crucial role in car radios, where they filter and store frequencies to ensure clear signal reception. Essentially serving as energy storage devices, capacitors store energy within their electric field and are composed of two parallel conducting plates separated by a dielectric.
When a voltage source is connected to a capacitor, positive and negative charges accumulate on the opposite plates. This accumulation generates a potential difference that equals the product of the...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

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Related Experiment Videos

Automatic caption generation for news images.

Yansong Feng1, Mirella Lapata

  • 1Institute of Computer Science and Technology, Peking University, 128 Zhong Guan Cun North Street, Haidian, Beijing, PO 100871, China. fengyansong@pku.edu.cn

IEEE Transactions on Pattern Analysis and Machine Intelligence
|May 30, 2012
PubMed
Summary
This summary is machine-generated.

This study develops an automatic image captioning model using web data. The abstractive model generates creative and relevant captions, outperforming existing methods.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Natural Language Processing

Background:

  • Automatic image captioning is crucial for applications like image retrieval and assistive technologies for the visually impaired.
  • Existing methods often struggle with generating contextually relevant and creative descriptions.
  • Leveraging web-scale image-caption pairs offers a promising avenue for improving caption generation.

Purpose of the Study:

  • To develop a novel two-stage model for automatic image caption generation.
  • To utilize web-scraped news articles, embedded images, and their captions for training.
  • To create captions that are both pertinent to image content and stylistically creative.

Main Methods:

  • A two-stage approach: content selection and surface realization.
  • Content selection uses a probabilistic image annotation model to identify image keywords based on latent topics.
  • Surface realization employs both extractive and abstractive summarization techniques.

Main Results:

  • The model successfully generates captions relevant to both image content and associated articles.
  • The abstractive surface realization model produces captions comparable to human-written descriptions.
  • Experimental results demonstrate the viability of the proposed approach for creative and pertinent caption generation.

Conclusions:

  • The developed model effectively generates high-quality image captions by integrating content selection and surface realization.
  • The abstractive approach shows significant promise, achieving results competitive with human-generated captions.
  • This research advances the field of automatic image captioning by enabling more nuanced and creative descriptions.