Examples with MediaTimeImpl org.opencastproject.metadata.mpeg7.MediaTimeImpl used on opensource projects

Example 1 with MediaTimeImpl

use of org.opencastproject.metadata.mpeg7.MediaTimeImpl in project opencast by opencast.

the class TextAnalyzerServiceImpl method extract.

/**
 * Starts text extraction on the image and returns a receipt containing the final result in the form of an
 * Mpeg7Catalog.
 *
 * @param image
 *          the element to analyze
 * @param block
 *          <code>true</code> to make this operation synchronous
 * @return a receipt containing the resulting mpeg-7 catalog
 * @throws TextAnalyzerException
 */
private Catalog extract(Job job, Attachment image) throws TextAnalyzerException, MediaPackageException {
    final Attachment attachment = image;
    final URI imageUrl = attachment.getURI();
    File imageFile = null;
    try {
        Mpeg7CatalogImpl mpeg7 = Mpeg7CatalogImpl.newInstance();
        logger.info("Starting text extraction from {}", imageUrl);
        try {
            imageFile = workspace.get(imageUrl);
        } catch (NotFoundException e) {
            throw new TextAnalyzerException("Image " + imageUrl + " not found in workspace", e);
        } catch (IOException e) {
            throw new TextAnalyzerException("Unable to access " + imageUrl + " in workspace", e);
        }
        VideoText[] videoTexts = analyze(imageFile, image.getIdentifier());
        // Create a temporal decomposition
        MediaTime mediaTime = new MediaTimeImpl(0, 0);
        Video avContent = mpeg7.addVideoContent(image.getIdentifier(), mediaTime, null);
        TemporalDecomposition<VideoSegment> temporalDecomposition = (TemporalDecomposition<VideoSegment>) avContent.getTemporalDecomposition();
        // Add a segment
        VideoSegment videoSegment = temporalDecomposition.createSegment("segment-0");
        videoSegment.setMediaTime(mediaTime);
        // Add the video text to the spacio temporal decomposition of the segment
        SpatioTemporalDecomposition spatioTemporalDecomposition = videoSegment.createSpatioTemporalDecomposition(true, false);
        for (VideoText videoText : videoTexts) {
            spatioTemporalDecomposition.addVideoText(videoText);
        }
        logger.info("Text extraction of {} finished, {} lines found", attachment.getURI(), videoTexts.length);
        URI uri;
        InputStream in;
        try {
            in = mpeg7CatalogService.serialize(mpeg7);
        } catch (IOException e) {
            throw new TextAnalyzerException("Error serializing mpeg7", e);
        }
        try {
            uri = workspace.putInCollection(COLLECTION_ID, job.getId() + ".xml", in);
        } catch (IOException e) {
            throw new TextAnalyzerException("Unable to put mpeg7 into the workspace", e);
        }
        Catalog catalog = (Catalog) MediaPackageElementBuilderFactory.newInstance().newElementBuilder().newElement(Catalog.TYPE, MediaPackageElements.TEXTS);
        catalog.setURI(uri);
        logger.debug("Created MPEG7 catalog for {}", imageUrl);
        return catalog;
    } catch (Exception e) {
        logger.warn("Error extracting text from " + imageUrl, e);
        if (e instanceof TextAnalyzerException) {
            throw (TextAnalyzerException) e;
        } else {
            throw new TextAnalyzerException(e);
        }
    } finally {
        try {
            workspace.delete(imageUrl);
        } catch (Exception e) {
            logger.warn("Unable to delete temporary text analysis image {}: {}", imageUrl, e);
        }
    }
}

Example 2 with MediaTimeImpl

use of org.opencastproject.metadata.mpeg7.MediaTimeImpl in project opencast by opencast.

the class Mpeg7CaptionConverter method exportCaption.

@Override
public void exportCaption(OutputStream outputStream, List<Caption> captions, String language) throws IOException {
    Mpeg7Catalog mpeg7 = Mpeg7CatalogImpl.newInstance();
    MediaTime mediaTime = new MediaTimeImpl(0, 0);
    Audio audioContent = mpeg7.addAudioContent("captions", mediaTime, null);
    @SuppressWarnings("unchecked") TemporalDecomposition<AudioSegment> captionDecomposition = (TemporalDecomposition<AudioSegment>) audioContent.getTemporalDecomposition();
    int segmentCount = 0;
    for (Caption caption : captions) {
        // Get all the words/parts for the transcript
        String[] words = caption.getCaption();
        if (words.length == 0)
            continue;
        // Create a new segment
        AudioSegment segment = captionDecomposition.createSegment("segment-" + segmentCount++);
        Time captionST = caption.getStartTime();
        Time captionET = caption.getStopTime();
        // Calculate start time
        Calendar startTime = Calendar.getInstance(TimeZone.getTimeZone("UTC"));
        startTime.setTimeInMillis(0);
        startTime.add(Calendar.HOUR_OF_DAY, captionST.getHours());
        startTime.add(Calendar.MINUTE, captionST.getMinutes());
        startTime.add(Calendar.SECOND, captionST.getSeconds());
        startTime.add(Calendar.MILLISECOND, captionST.getMilliseconds());
        // Calculate end time
        Calendar endTime = Calendar.getInstance(TimeZone.getTimeZone("UTC"));
        endTime.setTimeInMillis(0);
        endTime.add(Calendar.HOUR_OF_DAY, captionET.getHours());
        endTime.add(Calendar.MINUTE, captionET.getMinutes());
        endTime.add(Calendar.SECOND, captionET.getSeconds());
        endTime.add(Calendar.MILLISECOND, captionET.getMilliseconds());
        long startTimeInMillis = startTime.getTimeInMillis();
        long endTimeInMillis = endTime.getTimeInMillis();
        long duration = endTimeInMillis - startTimeInMillis;
        segment.setMediaTime(new MediaTimeImpl(startTimeInMillis, duration));
        TextAnnotation textAnnotation = segment.createTextAnnotation(0, 0, language);
        // Collect all the words in the segment
        StringBuffer captionLine = new StringBuffer();
        // Add each words/parts as segment to the catalog
        for (String word : words) {
            if (captionLine.length() > 0)
                captionLine.append(' ');
            captionLine.append(word);
        }
        // Append the text to the annotation
        textAnnotation.addFreeTextAnnotation(new FreeTextAnnotationImpl(captionLine.toString()));
    }
    Transformer tf = null;
    try {
        tf = TransformerFactory.newInstance().newTransformer();
        DOMSource xmlSource = new DOMSource(mpeg7.toXml());
        tf.transform(xmlSource, new StreamResult(outputStream));
    } catch (TransformerConfigurationException e) {
        logger.warn("Error serializing mpeg7 captions catalog: {}", e.getMessage());
        throw new IOException(e);
    } catch (TransformerFactoryConfigurationError e) {
        logger.warn("Error serializing mpeg7 captions catalog: {}", e.getMessage());
        throw new IOException(e);
    } catch (TransformerException e) {
        logger.warn("Error serializing mpeg7 captions catalog: {}", e.getMessage());
        throw new IOException(e);
    } catch (ParserConfigurationException e) {
        logger.warn("Error serializing mpeg7 captions catalog: {}", e.getMessage());
        throw new IOException(e);
    }
}

Example 3 with MediaTimeImpl

use of org.opencastproject.metadata.mpeg7.MediaTimeImpl in project opencast by opencast.

the class TextAnalysisWorkflowOperationHandler method extractVideoText.

/**
 * Runs the text analysis service on each of the video segments found.
 *
 * @param mediaPackage
 *          the original mediapackage
 * @param operation
 *          the workflow operation
 * @throws ExecutionException
 * @throws InterruptedException
 * @throws NotFoundException
 * @throws WorkflowOperationException
 */
protected WorkflowOperationResult extractVideoText(final MediaPackage mediaPackage, WorkflowOperationInstance operation) throws EncoderException, InterruptedException, ExecutionException, IOException, NotFoundException, MediaPackageException, TextAnalyzerException, WorkflowOperationException, ServiceRegistryException {
    long totalTimeInQueue = 0;
    List<String> sourceTagSet = asList(operation.getConfiguration("source-tags"));
    List<String> targetTagSet = asList(operation.getConfiguration("target-tags"));
    // Select the catalogs according to the tags
    Map<Catalog, Mpeg7Catalog> catalogs = loadSegmentCatalogs(mediaPackage, operation);
    // Was there at least one matching catalog
    if (catalogs.size() == 0) {
        logger.debug("Mediapackage {} has no suitable mpeg-7 catalogs based on tags {} to to run text analysis", mediaPackage, sourceTagSet);
        return createResult(mediaPackage, Action.CONTINUE);
    }
    // Loop over all existing segment catalogs
    for (Entry<Catalog, Mpeg7Catalog> mapEntry : catalogs.entrySet()) {
        Map<VideoSegment, Job> jobs = new HashMap<VideoSegment, Job>();
        List<Attachment> images = new LinkedList<Attachment>();
        Catalog segmentCatalog = mapEntry.getKey();
        try {
            MediaPackageReference catalogRef = segmentCatalog.getReference();
            // Make sure we can figure out the source track
            if (catalogRef == null) {
                logger.info("Skipping catalog {} since we can't determine the source track", segmentCatalog);
            } else if (mediaPackage.getElementByReference(catalogRef) == null) {
                logger.info("Skipping catalog {} since we can't determine the source track", segmentCatalog);
            } else if (!(mediaPackage.getElementByReference(catalogRef) instanceof Track)) {
                logger.info("Skipping catalog {} since it's source was not a track", segmentCatalog);
            }
            logger.info("Analyzing mpeg-7 segments catalog {} for text", segmentCatalog);
            // Create a copy that will contain the segments enriched with the video text elements
            Mpeg7Catalog textCatalog = mapEntry.getValue().clone();
            Track sourceTrack = mediaPackage.getTrack(catalogRef.getIdentifier());
            // Load the temporal decomposition (segments)
            Video videoContent = textCatalog.videoContent().next();
            TemporalDecomposition<? extends Segment> decomposition = videoContent.getTemporalDecomposition();
            Iterator<? extends Segment> segmentIterator = decomposition.segments();
            // For every segment, try to find the still image and run text analysis on it
            List<VideoSegment> videoSegments = new LinkedList<VideoSegment>();
            while (segmentIterator.hasNext()) {
                Segment segment = segmentIterator.next();
                if ((segment instanceof VideoSegment))
                    videoSegments.add((VideoSegment) segment);
            }
            // argument array for image extraction
            long[] times = new long[videoSegments.size()];
            for (int i = 0; i < videoSegments.size(); i++) {
                VideoSegment videoSegment = videoSegments.get(i);
                MediaTimePoint segmentTimePoint = videoSegment.getMediaTime().getMediaTimePoint();
                MediaDuration segmentDuration = videoSegment.getMediaTime().getMediaDuration();
                // Choose a time
                MediaPackageReference reference = null;
                if (catalogRef == null)
                    reference = new MediaPackageReferenceImpl();
                else
                    reference = new MediaPackageReferenceImpl(catalogRef.getType(), catalogRef.getIdentifier());
                reference.setProperty("time", segmentTimePoint.toString());
                // Have the time for ocr image created. To circumvent problems with slowly building slides, we take the image
                // that is
                // almost at the end of the segment, it should contain the most content and is stable as well.
                long startTimeSeconds = segmentTimePoint.getTimeInMilliseconds() / 1000;
                long durationSeconds = segmentDuration.getDurationInMilliseconds() / 1000;
                times[i] = Math.max(startTimeSeconds + durationSeconds - stabilityThreshold + 1, 0);
            }
            // Have the ocr image(s) created.
            // TODO: Note that the way of having one image extracted after the other is suited for
            // the ffmpeg-based encoder. When switching to other encoding engines such as gstreamer, it might be preferable
            // to pass in all timepoints to the image extraction method at once.
            SortedMap<Long, Job> extractImageJobs = new TreeMap<Long, Job>();
            try {
                for (long time : times) {
                    extractImageJobs.put(time, composer.image(sourceTrack, IMAGE_EXTRACTION_PROFILE, time));
                }
                if (!waitForStatus(extractImageJobs.values().toArray(new Job[extractImageJobs.size()])).isSuccess())
                    throw new WorkflowOperationException("Extracting scene image from " + sourceTrack + " failed");
                for (Map.Entry<Long, Job> entry : extractImageJobs.entrySet()) {
                    Job job = serviceRegistry.getJob(entry.getValue().getId());
                    Attachment image = (Attachment) MediaPackageElementParser.getFromXml(job.getPayload());
                    images.add(image);
                    totalTimeInQueue += job.getQueueTime();
                }
            } catch (EncoderException e) {
                logger.error("Error creating still image(s) from {}", sourceTrack);
                throw e;
            }
            // Run text extraction on each of the images
            Iterator<VideoSegment> it = videoSegments.iterator();
            for (MediaPackageElement element : images) {
                Attachment image = (Attachment) element;
                VideoSegment videoSegment = it.next();
                jobs.put(videoSegment, analysisService.extract(image));
            }
            // Wait for all jobs to be finished
            if (!waitForStatus(jobs.values().toArray(new Job[jobs.size()])).isSuccess()) {
                throw new WorkflowOperationException("Text extraction failed on images from " + sourceTrack);
            }
            // Process the text extraction results
            for (Map.Entry<VideoSegment, Job> entry : jobs.entrySet()) {
                Job job = serviceRegistry.getJob(entry.getValue().getId());
                totalTimeInQueue += job.getQueueTime();
                VideoSegment videoSegment = entry.getKey();
                MediaDuration segmentDuration = videoSegment.getMediaTime().getMediaDuration();
                Catalog catalog = (Catalog) MediaPackageElementParser.getFromXml(job.getPayload());
                if (catalog == null) {
                    logger.warn("Text analysis did not return a valid mpeg7 for segment {}", videoSegment);
                    continue;
                }
                Mpeg7Catalog videoTextCatalog = loadMpeg7Catalog(catalog);
                if (videoTextCatalog == null)
                    throw new IllegalStateException("Text analysis service did not return a valid mpeg7");
                // Add the spatiotemporal decompositions from the new catalog to the existing video segments
                Iterator<Video> videoTextContents = videoTextCatalog.videoContent();
                if (videoTextContents == null || !videoTextContents.hasNext()) {
                    logger.debug("Text analysis was not able to extract any text from {}", job.getArguments().get(0));
                    break;
                }
                try {
                    Video textVideoContent = videoTextContents.next();
                    VideoSegment textVideoSegment = (VideoSegment) textVideoContent.getTemporalDecomposition().segments().next();
                    VideoText[] videoTexts = textVideoSegment.getSpatioTemporalDecomposition().getVideoText();
                    SpatioTemporalDecomposition std = videoSegment.createSpatioTemporalDecomposition(true, false);
                    for (VideoText videoText : videoTexts) {
                        MediaTime mediaTime = new MediaTimeImpl(new MediaRelTimePointImpl(0), segmentDuration);
                        SpatioTemporalLocator locator = new SpatioTemporalLocatorImpl(mediaTime);
                        videoText.setSpatioTemporalLocator(locator);
                        std.addVideoText(videoText);
                    }
                } catch (Exception e) {
                    logger.warn("The mpeg-7 structure returned by the text analyzer is not what is expected", e);
                    continue;
                }
            }
            // Put the catalog into the workspace and add it to the media package
            MediaPackageElementBuilder builder = MediaPackageElementBuilderFactory.newInstance().newElementBuilder();
            Catalog catalog = (Catalog) builder.newElement(MediaPackageElement.Type.Catalog, MediaPackageElements.TEXTS);
            catalog.setIdentifier(null);
            catalog.setReference(segmentCatalog.getReference());
            // the catalog now has an ID, so we can store the file properly
            mediaPackage.add(catalog);
            InputStream in = mpeg7CatalogService.serialize(textCatalog);
            String filename = "slidetext.xml";
            URI workspaceURI = workspace.put(mediaPackage.getIdentifier().toString(), catalog.getIdentifier(), filename, in);
            catalog.setURI(workspaceURI);
            // Since we've enriched and stored the mpeg7 catalog, remove the original
            try {
                mediaPackage.remove(segmentCatalog);
                workspace.delete(segmentCatalog.getURI());
            } catch (Exception e) {
                logger.warn("Unable to delete segment catalog {}: {}", segmentCatalog.getURI(), e);
            }
            // Add flavor and target tags
            catalog.setFlavor(MediaPackageElements.TEXTS);
            for (String tag : targetTagSet) {
                catalog.addTag(tag);
            }
        } finally {
            // Remove images that were created for text extraction
            logger.debug("Removing temporary images");
            for (Attachment image : images) {
                try {
                    workspace.delete(image.getURI());
                } catch (Exception e) {
                    logger.warn("Unable to delete temporary image {}: {}", image.getURI(), e);
                }
            }
            // Remove the temporary text
            for (Job j : jobs.values()) {
                Catalog catalog = null;
                try {
                    Job job = serviceRegistry.getJob(j.getId());
                    if (!Job.Status.FINISHED.equals(job.getStatus()))
                        continue;
                    catalog = (Catalog) MediaPackageElementParser.getFromXml(job.getPayload());
                    if (catalog != null)
                        workspace.delete(catalog.getURI());
                } catch (Exception e) {
                    if (catalog != null) {
                        logger.warn("Unable to delete temporary text file {}: {}", catalog.getURI(), e);
                    } else {
                        logger.warn("Unable to parse textextraction payload of job {}", j.getId());
                    }
                }
            }
        }
    }
    logger.debug("Text analysis completed");
    return createResult(mediaPackage, Action.CONTINUE, totalTimeInQueue);
}